A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 Mathematical Model of Asynchronous Machine in MATLAB Simulink 1 A A Ansari, 2 D M Deshpande (1Research Scholar, 2Presently working in M.A.National Institute of Technology, Bhopal,India) Abstract— Different mathematical models have been used over the years to examine different problems associated with induction motors. These range from the simple equivalent circuit models to more complex d,q models and abc models which allow the inclusion of various forms of impedance and/or voltage unbalance. Recently, hybrid models have been developed which allow the inclusion of supply side unbalance but with the computational economy of the d,q models. This paper presents these models with typical results and provides guidelines for their use The dynamic simulation of small power induction motor based on mathematical modelling is proposed in this paper. The dynamic simulation is one of the key steps in the validation of the design process of the motor drive systems and it is needed for eliminating inadvertent design mistakes and the resulting error in the prototype construction and testing. This paper demonstrates the simulation of steady-state performance of induction motor by MATLAB Program Three phase induction motor is modeled and simulated with SIMULINK model. Keywords—Squirrel cage induction motor, modeling and simulation, MATLAB software, torque, speed. 1. INTRODUCTION In recent years the control of high-performance induction motor drives for general industry applications and production automation has received widespread research interests. Induction machine modeling has continuously attracted the attention of researchers not only because such machines are made and used in largest numbers but also due to their varied modes of operation both under steady and dynamic states. In an electric drive system the machine is a part of the control system elements. To be able to control the dynamics of the drive system, dynamic behavior of the machine need to be considered. The dynamic behavior of IM can be described using dynamic model of IM. The dynamic model considers the instantaneous effects of varying voltages/currents, stator frequency and torque disturbance. In this paper the dynamic model of IM is derived by using d and q variables in a synchronously rotating reference frame. Induction motor is simply an electric transformer whose magnetic circuit is separated by an air gap into two relatively movable portions, one carrying the primary and the other the secondary winding. Alternating current supplied to the primary winding from an electric power system induces an opposing current in the secondary winding, when the latter is short-circuited or closed through external impedance. Relative motion between the primary and secondary structure is produced by the electromagnetic forces corresponding to the power thus transferred across the air gap by induction. The essential features which distinguish the induction machine from other type of electric motors is that the secondary currents are created solely by induction, as in a transformer instead of being supplied by a dc exciter or other external power sources, as in synchronous and dc machines. 2. Equivalent circuit- The parameters of equivalent circuit of Induction Machines are crucial when considering advanced control techniques (i.e.Vector Control). Accidentally these are also uncertain parameters when the machine is released from production. The most common ways, to manually determine induction motor Parameters are to test motor under no-load and locked rotor conditions. 2.1 NO-LOAD TEST The no-load test, like the open circuit test on a transformer, gives information about exciting current and rotational losses. The test is performed by applying balanced rated voltage on the stator windings at the rated frequency. The small power provided to the machine is due to core losses, friction and winding loses. Machine will rotate at almost a synchronous speed, which makes slip nearly zero. This test is represented with an equivalent circuit in Figure shown. ISSN: 0975-5462 1260 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 Values measured during this test are current and it’s angle with respect to Known voltage. From this we can calculate total power supplied to the machine. 2.2 LOCKED ROTOR TEST The locked rotor test, like short circuit test on a transformer, provides the information about leakage impedances and rotor resistance. Rotor is at the stand still, while low voltage is applied to stator windings to circulate rated current. Measure the voltage and power to the phase. Since there is no rotation slip, s=1 which gives us following equivalent circuit. 3 Dqo transformation In electrical engineering, direct–quadrature–zero (or dq0) transformation or zero–direct–quadrature (or 0dq) transformation is a mathematical transformation used to simplify the analysis of three-phase circuits. In the case of balanced three-phase circuits, application of the dqo transform reduces the three AC quantities to two DC quantities. ISSN: 0975-5462 1261 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 Simplified calculations can then be carried out on these imaginary DC quantities before performing the inverse transform to recover the actual three-phase AC results. It is often used in order to simplify the analysis of threephase synchronous machines or to simplify calculations for the control of three-phase inverters. The dqo transform presented here is exceedingly similar to the transform first proposed in 1929 by R.H. Park. In fact, the dqo transform is often referred to as Park’s transformation. The dqo transform applied to three-phase currents is shown below in matrix form: The inverse transform is: 4. DESCRIPTION OF POWER SYSTEM BLOCKSET Matlab/Simulink is a systems simulator and unable to direct simulate electrical circuits Therefore for simulation of electrical circuits power system block sets are used which incorporates libraries of electrical blocks and analysis tools which are used to convert electrical circuits into Simulink diagrams. The electrical blocks are electrical models such as electrical machines, current and voltage sources, and different electric elements, power electronic switches, connectors, and sensors for measurement purpose. When the simulation starts Simulink use the Pm Blockset and transfers the electrical circuit into a state–space representation with the initial conditions of state variables. The actual simulation starts after this initial conversion, this allows the use of a wide variety of fixed step and variable step algorithms available in Simulink. As variable time step algorithms are faster than fixed time step method because the number of steps are less so these algorithms are used for small- and medium-size systems, And for large systems containing a more number of states and/or power switches, a fixed time step algorithm is used. A Simulink scopes can be used to display the Simulation results or these results can be sent to workspace during the simulation. The variety of MATLAB functions and toolboxes are present for processing and plotting of waveforms from stored data. 5. INDUCTION MOTOR MODEL IN SIMULINK A generalized dynamic model of the induction motor consists of an electrical sub-model to implement the threephase to two-axis (3/2) transformation of stator voltage and current calculation, a torque sub-model to calculate the developed electromagnetic torque, and a mechanical sub-model to yield the rotor speed. Electrical sub-model of the induction motor the three-phase to two-axis voltage transformation is achieved using the following equation. ISSN: 0975-5462 1262 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 Where Vas, Vbs, and Vcs are the three-phase stator voltages, while Vds and Vqs are the two-axis components of the stator voltage vector .Fig shows torque sub-model of induction motor In the two-axis stator reference frame, the electromagnetic T is given by Mechanical sub-model of induction motor from the torque balance equations and neglecting viscous friction, the rotor speed ωo may be obtained as follows Where J is the moment of inertia of the rotor and load and TL is the load torque Stator current output sub-model The stator current output sub-model is used to calculate the stator current amplitude according to the following equation ISSN: 0975-5462 1263 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 6. SIMULATION RESULTS The induction motor chosen for the simulation studies has the following parameters: Rs=1.5 ohm L s=0.012 H Lm=0.1118 H L r=0.1122 H J=0.054 kg m2 P=2 Ts=0.0546 nm Tr=0.160 nm The simulation results for developed torque, speed,Vsd,Vrd, Ird, Irq are presented. ISSN: 0975-5462 Rr=0.7ohm 1264 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 Torque developed Speed RPM Vsd & Vsq ISSN: 0975-5462 1265 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 Speed RPM Ird Irq 5. CONCLUSIONS SIMULINK is a powerful software package for the study of dynamic and nonlinear systems. Using SIMULINK, the simulation model can be built up systematically starting from simple sub-models. The induction motor model developed may be used alone, as in the direct-on-line starting example presented, or it can be incorporated in an advanced motor drive system, e.g. field oriented control. The authors believe that SIMULINK will soon become an indispensable tool for the teaching and research of electrical machine drives. 6. REFERENCES [1] G. J. Retter, “Matrix and Space-phasor theory of electrical Machines”,Akadémiai Kiadó,udapest, 1987. [2] D. O’Kelly and Simons, “Introduction to Generalised Electrical Machine Theory”, McGraw- Hill, 1968. [3] Mohan, N. “Advanced Electric Drives. Analysis, Control and Modeling using Simulink®”, MNPERE, 2001. [4] Adkins, B. “The General Theory of [5] P. Vas, “The control of AC machines” Oxford Univ., 1990. ISSN: 0975-5462 1266 A. Ansari et. al. / International Journal of Engineering Science and Technology Vol. 2(5), 2010, 1260-1267 [6] P.C. Krause, “Electric machines” , prentice Hall, 1985. 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