IEEWASME TRANSACTIONS ON MECHATRONICS, VOL. 1, NO, 1, MARCH 1996 10 tronics-An Industrial Pers Nobuhiro Kyura and Hirosuke Oho Abstract- The term “Mechatronics” is defined to provide a framework for technical and practical considerations.Within this framework, the importance of “intimate and organic” integration in mechatronics product designs is raised. Several issues pertaining to attaining this ideal integration of mechanical, electronic controls, and system engineering in mechatronics product designs are cited. To further advance the current mechatronics products, areas of improvement are also presented. I. INTRODUCTION HE term “Mechatronics” was first introduced by a Yaskawa Electric engineer in 1969. Trademark rights were granted in 1972 [1], and the term soon became popular. As its use became widespread, Yaskawa in 1982 released all rights pertaining to the trademark. In these 20-odd years the rapid development in computerrelated electronics, such as microprocessors, and in power electronics such as high-capacity, high-speed switching characteristics has led to widespread adoption of electronics in machinery. Products referred to as “mechatronics” now offer significantly enhanced function and performance. With improving function and performance, a variety of “mechatronics” products began to appear on the market. Many began to use the term “mechatronics” liberally, fueling debate over its definition and technical philosophies [2]. A technical committee on mechatronics, The International Federation for the Theory of Machines and Mechanism (IFTMM), provides a good definition of mechatronics: “Mechatronics is the synergistic combination of precision mechanical engineering, electronic control, and systems thinking in design of products and manufacturing processes” [3]. This definition helps to steer the philosophies of mechatronics technology, including development, design, and manufacturing. With increasingly liberal use of the term, mechatronics, there is a need to encompass mechatronics products excluded from the above IFTMM definition. Some critical characteristics of IFTMM definition, such as the “synergistic combination of mechanical and electronic engineering” seem lacking in numerous mechatronics products that range from digital watches to electric robots. A classification based on product configuration concept may help extend the IFTMM definition. The Japan Society for the Promotion of Machine Industry (JSPMI) in late 1970’s grouped mechatronics products into the four following classifications of product configuration concept ~41. Manuscript received November 6, 1995; revised December 18, 1995. The authors are with the Yaskawa Electric Corporation, Yahatanishiku Kitakyushu, 806 Japan. Publisher Item Identifier S 1083-4435(96)02288-0. The Class 1 mechatronics products are traditionally wholly mechanical products in which the primary functions were enhanced by the introduction of electronic technology. Examples of the Class 1 mechatronics products are numerical control (NC) machine tools and robots, whose precision control functions were enhanced by electronic controllers. The Class 2 mechatronics products are traditionally wholly mechanical products which have retained their external configurations and primary functions, but have changed their internal configuration with the introduction of electronic technology. Examples of the Class 2 mechatronics products are sewing machines, which experienced considerable internal overhaul. The Class 3 mechatronics products are traditionally wholly mechanical products which retained their primary functions only. Example of this class of mechatronics products are digital watches and push-button telephones, which have evolved dramatically by combining electronic technology. The Class 4 mechatronics products are any other products that incorporate mechanical and electronic technology. Examples of this class includes a wide variety of products, such as rice cookers, facsimile machines, and copiers. These products have been improved dramatically by the advances in precision mechanics and microprocessor technology. Together, the IFTMM definition and the JSPMI classification provide a framework to pursue either theoretical or practical work or both. The IFTMM definition sufficiently describes the concept of mechatronics and its constituent technologies. The JSPMI classification helps to define proper categorization of products, or the implementation of theoretical work. Concrete product configuration concepts are necessary for the engineering process. The mechatronics discipline covers a wide selection of application areas. In consideration of the time and space provided, the remainder of this paper focuses on the JSPMI’s Class 1 of product configuration concept with emphasis on the NC machine tools and industrial robots (NC/IR). 11. FUNDAMENTALS OF MECHATRONICS EQUIPMENT The following definition was introduced with the documents drawn up for the trademark application for the term mechatronics. “The word, Mechatronics, is composed of “mecha” from mechanism and the “tronics” from electronics. In other words, technologies and developed products will be incorporating electronics more and more into mechanisms, intimately and organically, and making it impossible to tell where one ends and the other begins.” 151. The phrase, “intimately and organically,” holds importance in the consideration of the Class 1 mechatronics products. 10834435/96$05.00 0 1996 IEEE KYURA AND O H 0 MECHATRONICS-AN INDUSTRIAL PERSPECTIVE 11 Sensitivity Layer I I Structural Layer 11 i Operator Layer I I I - -- - - --.I Human-Interface BUS Language InterpreterIProcessing f Sub-system Bus I Various Penpheral Equipment ii I System Total Management I 11 1I , U Actuator Control (1st Axis) $ : Actuator Control (Nth Axis) (i!:) I - Machine, Controller DiagnosisSensor L I I l l Various External Sensors T Machine Fig. 1, Controller configuration. The “synergistic combination” of IFTMM definition embodies the essence of the phrase, “intimately and organically,” as it was originally expressed in Japanese. Mechatronics products are combinations of mechanical and electronic engineering disciplines. “Intimate and organic” integration takes advantage of both engineering disciplines to complement the deficiencies of each other. Cooperative interaction among mechanical and electronic agents would create an enhanced combined effect that is larger than the sum of the individual effects. It seems that current NC/IR have yet to achieve such “intimate and organic” integration of their mechanical and electronics parts. The use of microprocessor-based controllers and highperformance servomechanisms in NCAR have steadily improved. In particular, user operability and trajectory control precision have progressed significantly in functional breadth and performance. The mechanical and electronic parts (servomotor systems and controllers) of the NC/IR are integrated as a method to implement the motion system. It is difficult to say, however, if the systems available today achieve the synergistic integration “intimately and organically.” Controllers in Class 1 mechatronics products perform a major portion of system functions, such as machining functions, motion performance, and operation functions. Following observations are made on the functions of these controllers. A typical controller has a hierarchical structure as shown in Fig. 1 [6]. The uppermost Sensitivity Layer contains the man-machine interface for machine operations. The Structural Layer, below the Sensitivity Layer, implements the functions which give the equipment its attributes. The Regulatory Layer implements the primary machine functions and the functions for coordinated control of required peripheral devices. The lowermost layer, the Operator Layer, is composed of operational devices, such as actuators, that are directly connected to corresponding components in the Regulatory Layer. Class 1 mechatronics equipment has a servosystem connected to the motion monitoring and generation components in the Regulatory Layer. Servosystems typically consist of actuators, mechanisms, detectors, power amplifiers, and controllers as shown in Fig. 2. In general, actuators in servosystems, are directly connected to the mechanisms. Hence, the servosystem functions as che interface between the mechanical and electronic portions. A typical configuration of servosystems in NC machine tools and industrial robots is shown in Fig. 2. The servosystem is a semi closed-loop system, where the position and velocity detectors mounted on the nonload side of the servomotor provide data which are fed back to the system. Fig. 3 illustrates the servosystem block diagram, when the actuator and tlhe load are viewed as a 2-inertia system. For multiaxis configurations, where motion is defined by the relations between iutes, actuators for each axis are controlled independently [7]. Consequently, the control system processes only the information from the actuators. Effects of mechanisms on the same axis, or mechanisms on adjoining axes, are processed as torque disturbances on the actuators. The actuator servosystem is designed to assume these disturbances noise. For example, the velocity control system, a commonly used actuator control for NC/IR, is designed to consider only step-wise torque disturbance effects. This technique, while sufficient for gross machine motion, is unsuitable for precision IEEEIASME TRANSACTIONS ON MECHATRONICS, VOL. 1, NO 1, MARCH 1996 12 Position Reference Input Feedforward Controller Fig. 2. Conceptual configuration Current Feedback of 1-axis servosystem I-....-....-.-.-___-.~--------.-----...........--------.---, Micro-Processor Based Controller (Software-Servosystem) GF(S) : Feedforward Loop Controlier Gi(S) : Position Loop Controller Gz(S) : Velocity Loop Controller G3(S) : Current Loop Contrplier Kt : Torque Constant of Motor JM: Moment of inertia of Motor-Rotor Rg: Ratio of Reduction Gear KL : Compliance of Mechanism (Load) JL : Moment of inertia of Mechanism (Load) DL: Damping Coefficient of Mechanism (Load) Fig. 3. Block diagram of 1-axis servosystem. motion control. Appropriate engineering attention to individual portion is necessary for servosystems to achieve the “intimate and organic” integration. 111. CONSIDERATIONS IN APPLICATION In general, servosystems consist of actuators, mechanisms, and mechanism controllers (see Fig. 2). Designing servosystems requires careful consideration, not only of their parts, but also of the combinatorial effects. In particular, there are many challenges in designing the mechanism and its controls. Today, computerized design tools (software packages) or computer-aided design (CAD) systems are commonly used in designing mechanical system controller. Analysis of mechanical elements are also possible with a variety of computerized analysis packages or computer-aided engineering (CAE). These tools allow engineers to investigate virtual models on computers and help understand the detailed effects of the designed machinery in operation. Also, development cost can be reduced by fabricating only the minimum number of prototypes [8], [SI. Another form of design tools is the various theoretical work by researchers in mechanical, electronic controls, and systems engineering. There has been a substantial amount of research in system identification as a part of control theory [ 101 to provide details on servosystems and the characteristics of the controlled mechanism. Considerable work on control methodology, such as linear constant parameter system control, linear time varying control, nonlinear control, stochastic system control [11]-[13], and continuous (analog) or discrete (digital, software algorithm) [14], H-infinite control [15], [16], and robust control theory [171-[191. Control methods of operation control in mechatronics equipment show that advances in mechanical and electronic engineering are not utilized effectively. The mechanical and electronic parts have yet to be integrated “intimately and KYURA AND OHO: MECHATRONICS-AN 13 INDUSTRIAL PERSPECTIVE organically.” To this end, the following sections provide a list of problems and suggestion, in achieving the ideal integration of mechanics and electronics. the “intimate ancl organic” integration of mechanism and electronics. C. Issues in Designing Advanced Machine Control A. Issues in Designing Mechanisms Current CAD and CAE systems emphasize the design and analysis of the mechanism. This raises the following systematic problems. Software systems for mechanism designs do not take control methods into account. It is difficult to adequately specify the choice of the control system into design. Computer and related software technologies have advanced to a point where a common database can be shared between design and analysis systems. However, difficulties remain in specifying or analyzing dependent characteristics, such as control performance indices of mechanical operation. For the most part, dependency evaluations rely on the experience and intuition of the engineer. Computer analysis results are quantitative, but do not provide information on the qualitative relationships between quantitative factors in the data. The gross or systemic characteristics of the mechanism can be understood, but it is difficult to obtain analysis which can also accurately describe detail characteristics. Many of the operational characteristics of the mechanism are dynamic, but these changes are not accurately reflected in the analysis results. Analyses of the mechanism operation performance remains difficult to evaluate. B. Issues in Designing Mechanism Controls In designing mechanism controls, the following problems become evident. The relationship between the degree to which theoretical preconditions are met, and the resulting level of control performance, remains difficult to analyze. The relationship between the precision desired to identify the object of control, and the control performance attainable through control methods based on this precision, remains unclear. The relationship between the operational precisions of the mechanism control system and the overall control system in combination is not well-defined. The theoretical relationships needed to determine sensor data, response characteristics, and resolution, and to configure a control system with the requisite control performance, based on control performance indices, are difficult to characterize. The stability of a class of systems is well-defined, but some aspects, such as the speed of convergence, become unclear as the system order increases. As these problems are resolved, it should be possible to implement controls which take operational state into consideration. Optimal mechanisms designs for requisite functions and selection of appropriate control methods become attainable. Mechatronics equipment created in this way would achieve Improvement off the semi closed-loop servosystem (shown in Fig. 2) to a full closed-loop feedback control system requires not only the use of the observer, commonly used in control methods, but also controls based on the detected signals of operational states of individual components with feedback to the controller. This type of feedback control system would allow precise operation, not available from the mechanism or controller performance alone, but would rather offer motion, taking advantage of the mechanism characteristics, which also considers the mechanism states. Research and development into advanced mechatronics equipment require solutions to the above mechanical and control issues. Also critical is the development of sensor technology, such as detecting and processing state signals of mechanical components. Comprehensive data for the operational states of mechanical components are essential for obtaining high speed, precision, and performance. Intimate and organic integration of mechanisms and control will require the utilization of a variety of sensors. Physical parameters directly related to the configuration of the servosystem are position, velocity, acceleration, and rate of acceleration change. For optimum state control and highprecision operation of the mechanism, sensor data, such as temperature, vibration, stress, and deformation, are required. Many currently available position and velocity sensors are inadequate for full closed-loop feedback control systems. Issues in resolving the inadequacies of sensors include the following: 1) compactness; 2) high reliability; 3) high durability to environmental factors, such as temperature, humidity, or vibration; 4) response characteristic suitable for real-time control; 5 ) component accessibility; 6) data and signal processing; 7) communication between sensors via network; 8) price. There are sensors that already meet some of these requirements. Continuing advancements in materials, nanotechnology, and other fabrication technologies, would further improve these sensors. Iv. PROSPECTS OF MECHATRONICS PRODUCTS Present Class 1 mechatronics products show symptoms of designs, narrowly ffocused on Class 1 specification. Many such products, including dc servomotors, ac servomotors, position and velocity detectors for motors, and their various drives, were developed for machine tools. The same observation can be made of the controllers, i.e., the numerical controllers used for machine tools. The situation, however, has changed dramatically over the past twenty years, and can be surmised from the situation of controllers. IEEWASME TRANSACTIONS ON MECHATRONICS, VOL. 1, NO. 1, MARCH 1996 14 Specialized controllers were developed to solve reliability issues stemming from the environment where the equipment is used. Personal computers (PC’s) and their peripheral equipment, have evolved to solve many problems of their environment. Benefiting from this, PC’s have penetrated the machine tools industry extensively. General availability of operating systems and various software packages have accelerated the spread of PC’s. Creating mechatronics equipment controllers on existing computer resources reduces development time and allows ease of customizing through the involvement of many engineers. The PC is likely to become an important part of the controller in the future. “Open architecture” controllers are already on the market, with a variety of motion controllers on PC-based systems. It is expected that these systems will continue to improve and provide functions and characteristics needed for sophisticated mechatronics equipment controllers. Presently, Class 1 mechatronics equipment, especially NC/IR, is designed under the assumption that operators are provided ample training. Given the current trend, such an assumption is unlikely to continue. Consequently, mechatronics equipment will need to attain the desired performance regardless of users/operators, including novices. The human-machine interface aspect is most important. In addltion to assuring safe operation, operators should be able to use the machine to complete the necessary work, even with little knowledge or experience. For the human interface, primary elements include an ergonomic control panel, interactive systems suited to the immediate tasks at hand, a database, and knowledge of engineering technologies. Another requirement for Class 1 equipment controllers is simple networking capab es. Controllers should be able to link to other controllers with the same ease as a computer network, such as a Local Area Network in office environment. Simple networking would clearly define the functions and Performance of the constituent equipment, as well as the communication protocol. Reduction of required resources in production system installation would become possible. The following items add to reduce the total cost: 1) system setup and running costs due to centralization of human interface; 2) remote diagnosis of equipment; 3) centralized management of distributed equipment layout; 4) flexibility and scalability during system expansions, changes, and upgrades. V. CONCLUSIONS A definition of mechatronics by the International Federation for the Theory of Machines and Mechanism was combined with the rnechatronics products classification defined by the Japan Society for the Promotion of Machine Industry to give an expansive framework for the pursuit of mechatronics endeavors. In this framework, the synergistic combination of mechanical and electronic disciplines has been shown to be an important contributor in the designing of “intimately and organically” integrated mechatronics products. Issues in attaining this ideal integration have been shown in designing mechanisms, mechanism controllers, and advanced machine controls. Areas of improvement have been suggested to further advance the current state of mechatronics products. ACKNOWLEDGMENT The authors thank Albert Choi of Yaskawa Electric America Inc. for proofreading the draft of this paper and providing useful comments. They also acknowledge the anonymous reviewers for their constructive comments that have helped to improve the quality of this paper. REFERENCES [l] Japan Trademark Registration, no. 946594, Jan. 1972. [2] N. Kyura, “The development of a controller for mechatronics equipment,” IEEE Trans. Ind. Electron., vol. 43, no. 1, pp. 30-37, Feb. 1996. [3] R. Comerford, “Mech . . . what?’ IEEE Spectrum, pp. 4 6 4 9 , Aug. 1994. [4] “Report on research and study on advanced machine industry-Mechatronics,” Japan Society for Promotion of Machine Industry, 1982 (in Japanese). E51 T. Mori, “Mecha-tronics,” Yaskawa Internal Trademark Application Memo 21.131.01, July 12, 1969. [6] Y. Hori, N. Kyura, and Y. Kawabata, “Theories and applications of advanced motion control,” Trans. IEE Jpn., vol. 110-D, no. 11, pp. 111&1118, 1990. [7] S. Arimoto, Robot Dynamics and Control, Society of Systems, Control, and Information, Ed. Asakura-Shoten, 1990 (in Japanese). [8] T. Sumimoto and H. Hamamatsu, “Vibration analysis system for mechatronics products,” Yaskawa Denki, vol. 53, no. 204, pp. 259-264, 1989 (in Japanese). [9] H. Hamamatsu et al., “Robot dynamics simulator-Optimum design tool for robot,” Yaskawa Tech. Rev., vol. 59, no. 227, pp. 127-135, 1995 (in Japanese). [lo] C. An, C. G . Atkeson, and J. M. Hollerbach, Model Based Control of a Robot Manipulator. Cambridge, MA: MIT Press, 1988. [11] Y . Takahashi, M. J. Rabins, and D. M. Auslander, Control and Dynamic Systems. Reading, MA: Addison-Wesley, 1972. 1121 W. J. Palm III. Modelina. Analvsis. and Control of Dvnamic Svstems. New York: Wiley, 1983; -r131- G. F. Franklin, J. D. Powell, and A. Emami-Naeini, Feedback Control of Dynamic Systems. Reading, MA: Addison-Wesley, 1986. [14] K. Furuta, Digital Control. Corona-Sha, 1989 (in Japanese). [15] T. Mita, H Injnlty Control. Shokodo, 1994 (in Japanese). [16] -, “Control theory and industrial applications, IV, on an H infinity servo system,” Trans. IEE Jpn., vol. 114-D, no. 10, pp. 951-954, 1994. [17] R. Kondo, “Control theory and industrial application, 111, design of robust digital control systems,” Trans. IEE Jpn., vol. 114-D, no. 10, pp. 947-950, 1994 (in Japanese). [18] H. Kimura, T. Fujii, and T. Mori, Robust Control. Corona-Sha, 1994 (in Japanese). [19] S. Kawaji and K. Kanazawa, “Vibration suppression control of 2-mass system based on robust control-Experimental study,” Trans. IEE Jpn., vol. 115-D, no. 11, pp. 1393-1401, 1995 (in Japanese). L 1 “ I Nobuhiro Kyura was born on February 12, 1942 He received B.S., M.S., and Ph.D. degrees in electrical engineenng from Kyushu University in 1964, 1966, and 1992, respectively. He has been with Yaskawa Electric Corporation in Japan since 1964. He is currently the General Manager of the Research Laboratory His current research interests include motion controller architecture, optimum motion control, and robot manipulator control Dr. Kyura is a recipient of the Outstanding Award for a paper submtted to the Japan Society of Precision Engineering in 1985 He also received the Outstanding Conference Paper Award “Robots 10” held by the Robotics International of SME (Society of Manufacturing Engineers) in 1986 He is a member of the Institute of Electrical Engineers of Japan, the Society of Instrument and Control Engineers of Japan, the Japan Society of Precision Engineering, the Robotics Society of Japan, and the Institute of Systems, Control, and Information of Japan KYURA AND OHO: MECHATRONICS-AN INDUSTRIAL PERSPECTIVE Hirosuke Oho was born on November 14, 1940. He received the B.S. degree in electncal engineering from Kyushu University In 1963. He joined Yaskawa Electric Corporation as a system engineer in 1963. He has more than 20 years of experience in system engineering for industrial drives and control systems. He is a director and a general manager of the technical administration department, and is responsible for corporate R&D management. Mr. Oho is a member of the Institute of Electncal Engineering of Japan. 15