AAS 05-380 CHAINING SIMPLE PERIODIC THREE BODY ORBITS Martin W. Lo* and Jeffrey S. Parker† This paper studies the chaining of periodic orbits via their invariant manifolds to provide various types of low energy orbits for space exploration, particularly in the Sun-Earth-Moon system. This technique was used for the design of the Genesis mission (see Howell et al.1) as well as the Lunar Sample Return mission study (see Lo & Chung2). Recent work shows that this approach may be used to design planetary flyby and planetary capture orbits. This shows that the technique for chaining periodic orbits is much more general and widely applicable, and is not restricted to libration missions only. The use of invariant manifolds provides a unified theoretical approach for studying these different mission applications. It also provides robust numerical algorithms for the computation and optimization of such trajectories. INTRODUCTION Poincaré once said that the key to understanding a dynamical system (i.e. a system of ordinary differential equations) is through its periodic orbits. The practical importance of periodic orbits for space missions is obvious to everyone. Periodic orbits about planets and moons, halo orbits, are but a few obvious examples. However, periodic orbits have another feature which in recent years have become increasing more important in the design of complex missions. In the case of unstable periodic orbits, they possess stable and unstable manifolds, also collectively known as invariant manifolds. Invariant manifolds are made up of asymptotic orbits to the periodic orbit; those which approach the periodic orbit form the stable manifold, while those which depart the periodic orbit form the unstable manifold. These manifolds form tubes in space providing free transport to and from the periodic orbit, in some instances covering vast distances. The collection of all such invariant manifolds form a complex transport system in the Solar System that is popularly called the “Interplanetary Superhighway” (see Lo3). In our previous paper (Lo and Parker 2004 4), we provided a study of several families of unstable planar periodic orbits in the Earth-Moon system which we think may have potential applications for the exploration of the Moon and beyond. In this paper, we study the invariant manifolds of those periodic orbits and their applications to space missions. In addition to providing ultra low energy transfers between various parts of the Earth-Moon region, by intersecting invariant manifolds, we can construct new periodic orbits with almost arbitrary properties. Moreover, they require very little propellant for control. In particular, starting with several unstable periodic orbits of the same energy (Jacobi constant), using this technique we are able to construct a new periodic orbit built upon the behavior of these periodic orbits, thereby producing a cycler orbit that visits each of the periodic orbits. * Visiting Associate, Computer Science, California Institute of Technology, Pasadena ,CA 91125. E-mail: Martin.Lo@jpl.nasa.gov. Doctoral Student, Colorado Center for Astrodynamics Research, University of Colorado at Boulder, 431 UCB, Boulder, CO 803090431. E-mail: parkerjs@colorado.edu. † 1 Historically, the idea of chaining periodic orbits has been around for quite some time frequently under other names. For example, the technique of multiple gravity assist is achieved by chaining arcs of resonant conic orbits. Recently Anderson & Lo 2004 5 have shown that in fact the underlying dynamics is provided by the invariant manifolds of unstable resonant orbits. Thus we see that the idea of chaining periodic orbits together via their invariant manifolds is crucial for trajectory design. It, in fact, provides a unifying principle for trajectory design and optimization that includes conic orbits, 3-body orbits, n-body orbits, impulsive thrust orbits, and low thrust orbits. There lies its significance. INVARIANT MANIFOLDS OF PERIODIC ORBITS Three Body Problem The Circular Restricted Three-Body Problem (CRTBP) is used as a model for the motion of a spacecraft in the Earth-Moon and Sun-Earth systems. The CRTBP places two primary bodies, e.g., the Sun and Earth-Moon barycenter or the Earth and Moon, in circular orbits about their barycenter and uses their gravitational attraction to approximate the motion of a massless third body. The primary bodies are assumed to be point-masses and no other forces or perturbations are included in the model. This system approximates the real solar system well since most bodies in the solar system orbit are in nearly circular orbits and their masses are much larger than a spacecraft’s mass. For more information about the CRTBP, see Szebehely6. Periodic Orbits of the Three Body Problem LL4 300 200 100 3 y (x10 km) The CRTBP has five equilibrium solutions, known as the five Lagrange points, where the gravity of the two massive bodies balances with the motion of the system. Figure 1 shows a plot of these five points in the Earth-Moon system, labeled LL1 to LL5. Numerous periodic orbit solutions exist in this system and the solutions may be grouped into families. Strömgren7 classified many families of solutions as simple periodic orbits, including all solutions that were symmetric about the x-axis that pierced the xaxis exactly twice per orbit. Several examples of such orbits are shown in Figure 2, below. Further discussion of simple periodic orbits may be found in Hénon8-13 and Broucke14 and references therein. LL3 0 LL1 Earth LL2 Moon -100 -200 LL5 -300 -400 -300 -200 -100 0 100 200 300 400 500 x (x103 km) Figure 1. The Earth, Moon, and five Lagrange points in the rotating coordinate system of the CRTBP. Invariant Manifolds The periodic orbits shown in the previous section are typically unstable. Unstable periodic and quasiperiodic orbits in the RTBP (a property of Hamiltonian systems) generate two families of asymptotic orbits: one family asymptotically departs the periodic orbit forming the unstable manifold, another family asymptotically winds onto the periodic orbit forming the stable manifold. Collectively, they are referred to as invariant manifolds. We refer to the periodic orbit as the generating orbit for the invariant manifolds. For periodic orbits, they form tubes in space. Their structure can become extremely complex through repeated intersections with other tubes. See Parker & Chua 15 for more information. Figure 3 shows the stable and unstable invariant manifolds for a typical libration orbit around 2 Figure 2. Several example families of simple, periodic, three-body orbits in the Earth-Moon CRTBP. Top-left: the family of Lyapunov orbits about LL1. Top-right: the family of 5:1 resonant orbits about the Earth-Moon system. Bottom-left: the family of Lyapunov orbits about LL2. Bottom-right: the family of Distant Prograde Orbits about the Moon. LL2. The invariant manifolds of other libration orbits, such as those about the LL 1 point, are similar. One can see the underlying tubular structure in the manifolds. Notice that there are two stable and two unstable invariant manifold sets for a given periodic orbit, corresponding to perturbations in both the positive and negative directions. As the manifolds approach one of the primaries, this structure begins to break down due to complex interactions with other tubes near the primaries. 3 Stable Invariant Manifold Unstable Invariant Manifold 120 60 100 40 20 Moon 0 Motion Y (x103 km) Y (x103 km) 20 Motion 60 Periodic Orbit 40 Moon’s Orbit 80 0 Moon -20 -40 -60 -20 Moon’s Orbit -80 -40 Periodic Orbit -100 Figure 3. The stable (left) and unstable (right) invariant manifolds for an orbit about LL2. -60 300 -120 400 450 500 550 600 300 350 400 450 500 550 3 Mission designers may use these invariant manifolds to model the motion of spacecraft in their X (x10 km) 3 X (x10 vicinity. If a mission’s objective is to transfer onto an unstable periodic orbit, thenkm) the spacecraft need only target any point (both position and velocity) on that orbit’s stable manifold in order to arrive onto that orbit. 350 CHAINING PERIODIC ORBITS BY INTERSECTING MANIFOLDS A spacecraft in orbit about an unstable periodic orbit only needs to make a slight deviation in its state to depart from that orbit, after which it would closely follow a trajectory in the orbit’s unstable manifold. Similarly, a particle or spacecraft that is traveling on a periodic orbit’s stable manifold will asymptotically approach the generating periodic orbit. Thus, to transfer from one unstable periodic orbit to another, a spacecraft only needs to find the intersections of its current orbit’s unstable manifold with the desired final periodic orbit’s stable manifold. If the intersection of the manifolds is in configuration space only, the spacecraft may then perform a single maneuver at the intersection to transfer from its initial orbit to its desired orbit. This is shown in Figure 4, below. Figure 4. The intersection of the unstable manifold of a Lyapunov orbit about LL1 with the stable manifold of a Lyapunov orbit about LL2. 4 600 Figure 5. Two example free transfers between the two manifolds shown in Figure 4. If the intersection of the manifolds takes place in phase space, then no maneuver is necessary for the transfer and the transfer is free. This can happen only if the two periodic orbits have the same Jacobi constant and their manifolds intersect in phase space. Two examples of such free transfers are shown in Figure 5 for the same periodic orbits shown in Figure 4. Intersecting Invariant Manifolds 80 τ = 0.25 60 40 20 y (x103 km) An orbit in a family may be uniquely identified by some parameter, where that parameter varies continuously from one end of the family to the other. 8 The Jacobi constant of the periodic orbit is a typical parameter that varies continuously from one end of a family of periodic orbits to the other. Finally, the parameter τ may be used to uniquely identify the location of a particle or spacecraft as it orbits a given periodic orbit. In this paper, the parameter τ is defined as the ratio of tc to P, where tc corresponds to the time that has elapsed from some reference point to the current point about the orbit and P is the period of the orbit. Thus, τ varies continuously from 0 to 1 as a particle moves about the periodic orbit. The reference point of the orbit is the orthogonal x-axis crossing in the +vy direction, as shown in Figure 6. Thus, τ is defined to be 0 at the orbit’s initial x-axis crossing in the +vy direction (see arrow in Fig. 6) and 0.5 in the –vy direction. 0 Moon τ = 0.0 τ = 1.0 LL2 τ = 0.5 -20 -40 -60 τ = 0.75 -80 360 380 400 420 440 460 480 x (x103 km) Figure 6. The definition of τ for this study. Trajectories on an orbit’s stable and unstable manifolds may be approximated by taking the state of a particle along the orbit at various values of τ and perturbing those states along the direction of the local stable or unstable eigenvectors of the monodromy matrix (see Parker & Chua15). Furthermore, the states may be perturbed in a positive sense or a negative sense, producing the two sets of manifolds seen in Figure 3. 5 Shadow Periodic Orbits (Non-Free Transfers) Using the above nomenclature, a state space map may be constructed that shows the cheapest intersection between the two trajectories T 1 and T2, where T1 is the trajectory on one orbit’s unstable manifold produced at 1 and T2 is the trajectory on a second orbit’s stable manifold produced at 2 . Figure 7 shows the state space map when one intersects the unstable manifold of a Lyapunov orbit about LL1 with the stable manifold of a Lyapunov orbit about LL2. They must have the same Jacobi constant for intersection in phase space to occur. These are the same orbits shown in Figures 4 and 5, above. The dark regions of the state space map indicate regions that require very little energy for transfer; the light regions require larger ΔVs. Figure 8 shows the same state space map with plots of some of the corresponding trajectories around it. Trajectories have been plotted for inexpensive transfers as well as for expensive transfers. This illustrates what the state space map represents. Heteroclinic and Homoclinic Orbits (Free Transfers) The darkest regions shown in Figure 7 indicate trajectories that require very little energy to transfer orbits. To transfer from one orbit to another for free, the unstable manifold of the first orbit must intersect the stable manifold of the second orbit in phase space. Two requirements for that condition to occur are that both orbits must be unstable and their Jacobi constants must be identical. With those requirements met, one may construct transfers such as those given in Figure 5. Figure 9 represents several families of simple, planar, symmetric orbits in the Earth-Moon CRTBP. This was described in Lo and Parker2, see also Broucke14. Each curve in the plot represents a family of periodic orbits. Each point along each curve represents an orbit that has an orthogonal x-axis crossing given by the x0-value in the plot and a Jacobi constant given by the C-value in the plot. The dark curves represent unstable orbits and the light curves represent neutrally stable orbits. Any two families of unstable orbits that share the same Jacobi constant may have a free transfer between them. The free transfers shown in Figure 5 are between two unstable orbits with a Jacobi constant of 3.13443929. Figure 10 shows a blow-up of a small region on the right side of Figure 9, indicating that the two orbit families do indeed share that Jacobi constant value. Furthermore, a particle or spacecraft with that Jacobi constant may also transfer to a distant prograde orbit for free, as well as many other types of unstable orbits. A free transfer orbit between two distinct periodic orbit is called a heteroclinic orbit. A free transfer orbit from a periodic orbit onto itself is called homoclinic orbit. Homoclinic and heteroclinic orbits are actually asymptotic orbits since they are produced from the intersection of stable and unstable manifolds which consist of asymptotic orbits. This means they require infinite time to wind off and wind on to the periodic orbits. At first glance they may appear to be of little value to mission design since all orbits must be traversed in finite time. It turns out that nearby these asymptotic orbits are finite time orbits with similar behavior which can be used for mission design. For example, the heteroclinic dynamics between EL1 and EL2 was used to produce the Genesis Earth-Return trajectory (see Howell et al.1, Koon et al. 16) 6 Figure 7. The state space plot of the intersection of the unstable manifold of a Lyapunov orbit about LL 1 with the stable manifold of a Lyapunov orbit about LL2. The darkest regions require the least amount of energy to transfer. Figure 8. The state space plot shown in Figure 7, above, with example transfers. 7 5 Lyapunov Orbits about LL1 4 C (Jacobi Constant) Distant Retrograde Orbits about the System 3 Lyapunov Orbits about LL3 Distant Prograde Orbits about the Moon 2 Lyapunov Orbits about LL2 1 Distant Retrograde Orbits about the Moon 0 -1 LL1 -2 -3 -1200 LL3 -1000 -800 -600 Earth -400 -200 LL2 Moon 0 200 400 X0 (x103 km) Figure 9. A plot of x0 vs. C for several families of planar, symmetric, periodic orbits in the Earth-Moon CRTBP. Orbits plotted in black are unstable; orbits plotted in gray are neutrally stable. 3.2 C (Jacobi Constant) 3.15 C = 3.13443929 3.1 3.05 Lyapunov Orbits about LL2 Lyapunov Orbits about LL1 Distant Prograde Orbits about the Moon 3 2.95 2.9 240 LL1 260 280 300 320 LL2 Moon 340 360 3 380 400 420 440 X0 (x10 km) Figure 10. A blow-up of Figure 9 showing the heteroclinic transfers displayed in Figure 5. The blue line indicates a Jacobi constant equal to 3.13443929. 8 50 40 30 y (x103 km) 20 10 LL1 LL2 Moon 0 -10 -20 -30 -40 -50 320 340 360 380 400 420 440 x (x103 km) Figure 11. Free transfers between a Lyapunov orbit about LL1, a Distant Prograde Orbit about the Moon, and a Lyapunov orbit about LL2, where every orbit and trajectory has the same Jacobi constant C = 3.13443929. Figure 11 shows four other free transfers between the same Lyapunov orbits shown above and a Distant Prograde Orbit (DPO) of the same Jacobi constant. The transfers shown in brown travel away from the DPO; the transfers shown in green travel toward the DPO. FINDING NEW PERIODIC ORBITS USING CHAINS Symmetric periodic orbits have exactly two orthogonal x-axis crossings per period. There may certainly be other x-axis crossings, but no more and no fewer than two of them may be orthogonal. Simple periodic orbits, as defined by Strömgren7, do not pierce the x-axis except at the two orthogonal crossings. We next show that many complicated periodic orbits may be generated by chains of simple periodic orbits. A logical way to construct a symmetric orbit is to begin at one of the orthogonal x-axis crossings and find a trajectory that pierces the x-axis orthogonally in the opposite sense at a later time. That trajectory would then be half of the periodic orbit. A symmetric orbit may therefore be uniquely represented by one of its orthogonal x-axis crossings using either [x0, vy0] or [x0, C], where vy0 is the y-component of the velocity at the x crossing and C is the orbit’s Jacobi constant. Figure 12 shows the initial conditions [x0, vy0] needed to construct the orbits in the family of Lyapunov orbits about LL 1. Figure 13 shows the same family of orbits plotted as x0 vs. C. 9 1.8 3.2 1.6 1.4 3.1 C (Jacobi Constant) 1 0 vy (km/s) 1.2 0.8 0.6 2.9 2.8 0.4 0.2 0 100 3 2.7 150 200 250 300 350 150 x 0 (x103 km) 200 250 300 350 x 0 (x103 km) Figure 12. A plot of x0 vs. vy0 for the family of Lyapunov orbits about LL1. Figure 13. A plot of x0 vs. C for the family of Lyapunov orbits about LL1. In theory, a free transfer between two unstable symmetric periodic orbits is itself a periodic orbit, but with a period of infinity. After leaving the first periodic orbit, e.g., the Lyapunov orbit, the particle asymptotically approaches the second orbit, e.g., the DPO. At infinity, the particle would finally pierce the x-axis again orthogonally and could then begin the route back. With a slight modification, one can instead construct a trajectory that does not actually trace out either of the two generating orbits, but comes arbitrarily close to them before piercing the x-axis orthogonally in a finite amount of time. The new trajectory would Lyapunov orbit around LL1 n1 times, transfer to the DPO and follow the DPO n2 times. In the event we are able to make two of the x-crossings of this new orbit orthogonal to the x-axis, the resulting orbit would be periodic. We call such a periodic orbit a compound periodic orbit generated by the chain of simple periodic orbits. REPRESENTATION OF CHAINS WITH SYMBOLIC DYNAMICS We now need some notation to describe the orbits that chain of periodic orbits. Suppose we let A, B, C denote 3 simple periodic orbits. Suppose that the invariant manifolds of A and B intersect in phase space, next, suppose the invariant manifolds of B and C also intersect in phase space, then it is possible to transfer from A to B to C via their intersecting invariant manifolds. Let n A be a natural number and let { nA } denote an orbit which shadows A closely for nA revolutions, although we do not assume that it is necessarily periodic. Similarly, we let { nA , nB} denote an orbit which shadows A closely for n A revolutions, then shadows orbit B for nA revolutions. Once again we do not assume that it is necessarily periodic. Such finite sequences are fragments of more complex orbits which can be used to construct orbits with specific properties for a particular mission. In the case of a periodic orbit that shadows A and B n A and nB revolutions respectively, we can represent it by the doubly infinite sequence, { … n A , nB, nA , nB, nA , nB, …}. More simply, we use square brackets to denote such periodic orbits: [n A , nB] for a periodic orbit with generating orbits A and B, [nA , nB, nC] for a periodic orbit with generating orbits A, B, C. We refer to the compound periodic orbit [nA , nB, nC] as a chain generated by A, B, C. The fact that given any sequence of numbers nA , nB, nC, one can find a natural orbit { nA , nB, nC} is a highly non-trivial theorem of Moser’ involving a subject known as “symbolic dynamics”. In order for this to be true, there must be a heteroclinic connections between A, B, and C. However, this theory is not important for our discussion, the interested reader is referred to Koon et al.16 and references therein for more information. All that is important for our discussion is the fact the such compound periodic orbits exist and by using differential correctors, one can easily produce them at will. Some example of chains produced in this manner are shown in Figure 14 for [n1, n2] = [11, 11], [5, 5], [1, 3], and [1, 1], where n1 refers to a Lyapunov orbit about LL1, and n2 refers to a DPO (Distant Prograde Orbit) around the Moon. As the value of ni increases, the trajectory gets closer to tracing the true 10 40 30 30 20 20 10 n1=11, n2=1110 y (x103 km) y (x103 km) 40 0 -10 -20 -30 -30 -40 320 340 360 380 400 420 310 x (x103 km) 40 320 330 340 30 30 20 20 10 n1=5, n2=5 0 -10 360 370 380 390 400 410 10 n1=1, n2=1 0 -10 -20 -20 -30 -30 -40 350 x (x103 km) 40 y (x103 km) y (x103 km) -10 -20 -40 n1=1, n2=3 0 -40 310 320 330 340 350 360 370 380 390 400 310 410 320 330 340 350 360 370 380 390 400 410 x (x103 km) x (x103 km) Figure 14. Example periodic chains between a Lyapunov orbit about LL1 and a Distant Prograde Orbit about the Moon. generating periodic orbit. One can see, though, that the value of ni does not need to be very high before the trajectory approximates the generating periodic orbit quite closely. Constant Homotopy Type (Orbital Families) Each periodic orbit family in the CRTBP can be classified by its homotopy type, i.e. its winding numbers around certain prescribed points which we call centers. For instance, the family of Lyapunov orbits about LL1 revolves about the LL1 point as center once per orbit, piercing the x-axis orthogonally each time. The choice of the center is somewhat arbitrary and depends on what is convenient to the classification problem at hand. Each compound periodic orbit generated by a chain of simple periodic orbits is a member of a family of periodic orbits, as observed in Figure 9. Figure 15 shows the evolution of the family of the chained periodic orbit produced from two revolutions about LL1 followed by one revolution about the Moon. Figure 16 shows the initial conditions (x0 vs. vy0 for the first orthogonal x-axis crossing) needed to produce these orbits and the evolution of their Jacobi constant (x0 vs. C). Compare these plots with the family of Lyapunov orbits about LL1and notice that the differences are small. 11 25 60 80 30 20 60 40 15 20 40 -5 y (x103 km) 0 0 -10 y (x103 km) 20 10 5 y (x103 km) y (x103 km) 10 0 20 0 -20 -20 -10 -40 -20 -15 -40 -20 -60 -30 -80 -60 -25 320 330 340 350 360 370 380 320 330 340 350 3 360 370 380 390 400 280 300 320 340 3 x (x10 km) 360 380 400 420 250 300 3 x (x10 km) 350 400 450 x (x103 km) x (x10 km) 150 100 150 100 80 100 100 60 50 -20 -40 0 50 y (x103 km) 0 50 y (x103 km) 20 y (x103 km) y (x103 km) 40 0 0 -50 -50 -50 -60 -100 -100 -80 -100 -150 -100 -150 200 250 300 350 400 450 200 250 300 3 350 400 450 500 150 200 250 x (x103 km) x (x10 km) 300 350 400 450 500 550 150 200 250 x (x103 km) 300 350 400 450 500 550 x (x103 km) Figure 15. The evolution of a family of chained orbits, beginning in the top-left and continuing left-to-right and top-to-bottom. These orbits consist of two revolutions about LL1 followed by one revolution about the Moon. -3 x 10 2 1 vy - 0.2701 1 0.8 0.6 0.4 0 vy 0 1.5 0.5 0.2 0.4 0.45 0.5 0.55 0.6 x0 0.65 0.7 0.75 0.8 0 0.85 Jacobi Constant (C) 3.4 3.2 3 2.8 2.6 0.35 0.4 0.45 0.5 0.55 0.6 x0 0 1 2 3 4 -4 Jacobi Constant (C) - 3.1222 0 0.35 0.65 0.7 0.75 0.8 0.85 5 x 10 5 6 x 0 - 0.8101 7 5 6 x 0 - 0.8101 7 8 9 -5 x 10 4 3 2 1 0 0 1 2 3 4 8 9 -5 x 10 Figure 16. The initial conditions at the first orthogonal x-axis crossing (top) and the Jacobi constants (bottom) of the family of chained orbits shown in Figure 15. The plots on the right show a direct comparison between these plots and the plot of the initial conditions and Jacobi constants of the family of Lyapunov orbits about LL 1. Constant Energy Chains of periodic orbits may be constructed in countless combinations. One may construct a periodic orbit chain that encircles LL1 n1 times followed by the Moon n2 times, where n1 and n2 may be any positive integer. For this paper, every periodic orbit chain has been constructed for n1 and n2 in the range 1 ≤ n1 ≤ 13 and 1 ≤ n2 ≤ 15. Figures 17 and 18 show the families of these chains relative to one another by plotting their x0-value vs. their vy0-value and their C-value, respectively. The families are colorcoordinated such that the families with n1 = 1 are colored in the darkest blue and the colors vary until the families with n1 = 13 are colored in the darkest red. The notation in the plot n1 = 2+ means n1 = 2, 3, 4, … One can see that the orbital parameters for each of these families are very similar, but all have unique parameters. As the value of n1 gets very large, the orbital parameters for the family approach the orbital parameters of the family of Lyapunov orbits about LL1. It appears these orbits form a Cantor set. 12 -3 x 10 2 n1 = 2+ 1 n1 = 1 0 -1 -2 -150 -100 -50 0 50 100 Nominal x 0 = 312,421.1 km Nominal vy = 0.2534265 km/s -200 -6 x 10 1 n1 = 2 n1 = 3+ 0.5 0 200 -5 x 10 5 n1 = 1 n2 = 2+ n1 = 1 n2 = 1 0 -8 x 10 2 1 0 0 0 0.15 -1 -3 -2 -1 0 1 Nominal x 0 = 312,280.82822 km 2 3 -5 -6 -4 -2 0 2 Nominal x 0 = 312,546.24 km -5 x 10 2 1 -1 -2 0 -3 -2 -3 x 10 -1 0 1 Nominal x 0 = 312,281.0067390 km 2 3 -3 4 6 -8 x 10 5 0 0 -8 x 10 1 0.1 Nominal vy = 0.2533786 km/s -0.05 0 0.05 Nominal x 0 = 312,280.914 km 0 -0.1 Nominal vy = 0.2529641 km/s -0.15 Nominal vy = 0.2534046 km/s -1 0 Nominal vy = 0.2529641 km/s 150 0 -0.5 0 Nominal vy = 0.2529640 km/s 0 Nominal vy = 0.25289 km/s The plots in Figures 17 and 18 demonstrate that every chain has a unique set of states, but one chain’s states may be very close to another chain’s states. Station keeping would be required to ensure that a spacecraft followed its prescribed chain for a practical mission. Additionally, a particle or spacecraft may transfer from one chain to another very inexpensively using the same procedures as those presented above using the invariant manifolds of the chains themselves. -1 -2 -2.5 -2 -1.5 x 10 -1 -0.5 0 0.5 1 Nominal x 0 = 312,543.6343900 km 1.5 2 2.5 -5 -0.01 -0.008 -0.006 -0.004 -0.002 0 0.002 0.004 0.006 0.008 Nominal x 0 = 312,551.1888756 km 0.01 Figure 17. A plot of the x0 vs. the vy0 of families of chained periodic orbits between LL1 and the Moon. The plots are zoomed-in to explore the details and to show that each family indeed has unique orbital parameters. -4 Nominal C = 3.133495 x 10 5 n1 = 2+ n1 = 1 0 -5 -200 -150 -100 -50 0 50 100 Nominal x 0 = 312,421.1 km -7 n1 = 2 n1 = 3+ 0 -1 -2 -0.1 -0.05 0 0.05 Nominal x 0 = 312,257.946 km -8 0 -2 0.1 -8 0 -1 -2 0 2 Nominal x 0 = 312,257.84235 km 4 6 -4 -2 0 2 4 Nominal x 0 = 312,580.07 km -6 2 1 0 -1 -2 -1 -3 x 10 -6 -0.5 0 0.5 Nominal x 0 = 312,258.0469251 km 1 8 x 10 5 0 -5 -2.5 -3 x 10 6 -8 x 10 Nominal C = 3.1334952 Nominal C = 3.1333524 0.5 -0.5 n1 = 1 n2 = 2+ -1 x 10 1 n1 = 1 n2 = 1 1 -9 x 10 Nominal C = 3.1333524 2 Nominal C = 3.1335065 1 Nominal C = 3.1335061 Nominal C = 3.1333524 x 10 2 -4 200 -5 x 10 -6 150 -2 -1.5 -1 -0.5 0 0.5 1 1.5 Nominal x 0 = 312,575.1757282 km 2 2.5 1 0.5 0 -0.5 -1 -5 -4 -3 -2 -1 0 1 2 Nominal x 0 = 312,583.5642257 km 3 4 5 -3 x 10 Figure 18. A plot of the x0 vs. the C of the families of chained periodic orbits between LL1 and the Moon. The plots are zoomed-in to explore the details and to show that each family indeed has unique orbital parameters. 13 Invariant Manifolds of Periodic Chained Orbits An unstable periodic orbit chain also has an associated set of invariant manifolds. These manifolds resemble the invariant manifolds of the generating simple periodic orbits near the regions of space where the chain resembles its generating orbits. Figure 19 shows the stable invariant manifold of a chain that makes one revolution about LL1 followed by two revolutions about the Moon, compared with the stable invariant manifolds of a Lyapunov orbit about LL1 and a Distant Prograde Orbit about the Moon, each having the same Jacobi constant as the chain. One can see that the large-scale structure of the chain’s manifolds contains elements from both generating orbits. Figure 20 shows the same comparison for the unstable invariant manifolds of these three periodic orbits. APPLICATIONS TO EXPLORATION OF SPACE One of the key technology required for any age of exploration is the development of accurate maps. During the age of Columbus, maps of the world were treasured state secrets; map making went hand in hand with each expedition launched from Europe. Just imagine today the space program without an accurate map of the stars, how would spacecraft point and navigate? The Exploration of Space is no different. What we need now is a map of the periodic orbits and their invariant manifolds in the Solar System, basically a map of the Interplanetary Superhighway. Such a map would provide us with the starting points for designing ultra efficient, low energy orbits for any mission through out the Solar System. As we mentioned earlier in the Introduction Section, this would capture all orbits from conic orbits to N-body trajectories, trajectories using impulsive or continuous thrust, trajectories using planetary flybys, etc. The methodology developed in this paper is but an infinitesimal step towards a unified theoretical framework for designing and optimization space trajectories from the simplest to the most complex imaginable. How would this unified theoretical framework built upon the maps of the periodic orbits benefit space exploration? For one thing, there are many interesting orbits which we have yet to discover that have potentially extremely useful properties for space travel and transport. Consider some of the chains discussed earlier, these cycler orbits may provide an ideal system for inexpensive cargo transport in the Earth-Moon environment. By considering larger periodic orbits on the scale of the Earth’s orbit, these may provide a chain to capture rogue near Earth asteroids and comets to provide an infinite source of raw material for the hungry Earth and its colonies on the Moon and in space. Another key reason for the importance of the map of the periodic orbits and their manifolds is the fact that they replace the role of orbital elements for highly nonlinear N-body trajectories which cannot be described by a simple set of 6 orbital elements. With such a map available on board a spacecraft, we can serious consider the capability for the spacecraft computer to autonomous plan the trajectory and navigate it without human intervention. On the ground, this would help automate the complex process of mission design that currently requires painstaking trajectory design and optimization by a team of engineers. Imagine if the mission manager can simply search the map of periodic orbits and quickly order the computer to construct a chain [A, B, C] to tour these three periodic orbits for his/her mission. 14 50 50 40 30 20 y (x103 km) y (x103 km) 10 0 -10 0 -20 -30 -40 -50 300 350 400 -50 260 450 280 300 320 x (x103 km) 340 360 380 400 420 360 380 400 420 x (x103 km) 50 50 40 30 10 y (x103 km) y (x103 km) 20 0 -10 0 -20 -30 -40 -50 300 350 400 -50 260 450 280 300 320 x (x103 km) 340 x (x103 km) Figure 19. The stable invariant manifold of a [1,2] chain (top) compared with the stable invariant manifolds of the two generating orbits (bottom). 50 50 40 30 y (x103 km) y (x103 km) 20 10 0 -10 0 -20 -30 -40 -50 300 350 400 -50 260 450 280 300 320 x (x103 km) 340 360 380 400 420 x (x103 km) 50 50 40 30 10 y (x103 km) y (x103 km) 20 0 -10 0 -20 -30 -40 -50 300 350 400 450 x (x103 km) -50 260 280 300 320 340 360 380 400 420 x (x103 km) Figure 20. The unstable invariant manifold of a [1,2] chain (top) compared with the unstable invariant manifolds of the two generating orbits (bottom). CONCLUSIONS AND NEXT STEPS We have shown how unstable simple periodic orbits may be chained together using their invariant manifolds to produce new periodic orbits called “chains”. These chains strongly resemble their generating orbits and their invariant manifolds are also very similar. These chains are the natural cycler orbits defined 15 by their winding numbers around various centers. From symbolic dynamics theory, we know that there are infinitely many chains generated by practically any combination of unstable simple periodic orbits. For the next steps, we need to characterize the periodic orbits and the chains their generate as well as their associated invariant manifolds. For example, how close can one approach the Moon using these chains? What kinds of cycler orbits (chains) exists between the Earth and the Moon? How suitable are these chains for cargo transport. These chains are delicate orbits the live in the chaotic regime. They have been created in the CRTBP. What happens when we add in perturbations from the Sun, other planets, the solar wind, and use a more accurate ephemeris model? Will these delicate orbits simply vanish? From our experience working with halo orbits and complex planetary flyby orbits, the answer is that something useful may persist, although with changed characteristics. Exactly what persists and how the orbits are changed are important problems that must be studied and understood before we can take advantage of the great bounty periodic orbits provide us for space exploration. REFERENCES 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. Howell, K., B. Barden, M. Lo, “Application of Dynamical Systems Theory to Trajectory Design for a Libration Point Mission”, JAS 45(2), April-June 1997. Lo, M.W., M.K. Chung “Lunar Sample Return via the Interplanetary Superhighway”, AIAA/AAS Astrodynamics Specialist Meeting, Monterey, CA, August, 2002, Paper No. AIAA 2002-4718. Lo, M.W., “The Interplanetary Superhighway and the Origins Program”, IEEE Aerospace 2002 Conference, Big Sky, MT., March, 2002. Lo, M.W. and Parker, J.S., “Unstable Resonant Orbits near Earth and Their Applications in Planetary Missions,” AIAA/AAS Conference, Paper No. 5304, Providence, RI, August, 2004. Anderson, R., M. Lo, “The Role of Invariant Manifolds in Low Thrust Trajectory Design (II)”, AIAA/AAS Astrodynamics Specialist Conference, Providence, RI, Paper No. AIAA2004-5305, August 2004. Szebehely, V., Theory of Orbits: The Restricted Problem of Three Bodies, Academic Press, New York, 1967. Strömgren, E., “Connaissance actuelle des orbites dans le problème des trios corps,” Copenhagen Observatory Publications No. 100; also Bull. Astr. Vol. 9, No. 87, 1935. Hénon, M., “Exploration Numérique du Problème des Trois Corps, (I), Masses Egales, Orbites Périodiques,” Ann. Astrophys., Vol. 28, No. 3, pp. 499-511, 1965. Hénon, M., “Exploration Numérique du Problème des Trois Corps, (II), Masses Egales, Orbites Périodiques,” Ann. Astrophys., Vol. 28, No. 6, pp. 992-1007, 1965. Hénon, M., “Exploration Numérique du Problème des Trois Corps, (III), Masses Egales, Orbites Non Périodiques,” Bull. Astron., Vol. 1, No. 1, pp. 57-80, 1966. Hénon, M., “Exploration Numérique du Problème des Trois Corps, (IV), Masses Egales, Orbites Non Périodiques,” Bull. Astron., Vol. 1, No. 2, pp. 49-66, 1966. Hénon, M., “Numerical Exploration of the Restricted Problem. V., Hill’s Case: Periodic Orbits and Their Stability,” Astron. & Astrophys., 1, 223-238, 1969. Hénon, M., “New Families of Periodic Orbits in Hill’s Problem of Three Bodies,” Celestial Mech. & Dynamical. Astr., Vol. 85, pp. 223-246, 2003. Broucke, R.A., “Periodic Orbits in the Restricted Three-Body Problem with Earth-Moon Masses,” Technical Report 32-1168, Jet Propulsion Laboratory, Cal. Tech., 1968. Parker, T., L. Chua, “Practical Numerical Algorithms for Chaotic Systems”, Springer Verlag, New York, 1989. Koon, W., M. Lo, J. Marsden, S. Ross, “Heteroclinic Connections” ACKNOWLEDGEMENTS This work has been completed under partial funding by the National Aeronautics and Space Administration through Jet Propulsion Laboratory, California Institute of Technology; and by a National Defense Science and Engineering Graduate (NDSEG) Fellowship sponsored by the Deputy Under Secretary of Defense for Science and Technology and the Office of Naval Research. 16