The growing demand for accurate control in varying and unknown environments has sparked a corresponding increase in the requirements for power supply components, including permanent magnet synchronous motors (PMSMs). ...
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The growing demand for accurate control in varying and unknown environments has sparked a corresponding increase in the requirements for power supply components, including permanent magnet synchronous motors (PMSMs). ...
The growing demand for accurate control in varying and unknown environments has sparked a corresponding increase in the requirements for power supply components, including permanent magnet synchronous motors (PMSMs). To infer the unknown part of the system, machine learning techniques are widely employed, especially Gaussian process regression (GPR) due to its flexibility of continuous system modeling and its guaranteed performance. For practical implementation, distributed GPR is adopted to alleviate the high computational complexity. However, the study of distributed GPR from a control perspective remains an open problem. In this paper, a control-aware optimal aggregation strategy of distributed GPR for PMSMs is proposed based on the Lyapunov stability theory. This strategy exclusively leverages the posterior mean, thereby obviating the need for computationally intensive calculations associated with posterior variance in alternative approaches. Moreover, the straightforward calculation process of our proposed strategy lends itself to seamless implementation in high-frequency PMSM control. The effectiveness of the proposed strategy is demonstrated in the simulations.
作者:
Yi-Sheng HuangSheng-Luen ChungMu-Der JengDepartment of Aeronautical Engineering
Chung Cheng Institute of Technology National Defense University Tashi Taoyuan 335 Taiwan R.O.C. Department of Electrical Engineering
National Taiwan University of Science and Technology Taipei 106 Taiwan R.O.C. Department of Electrical Engineering
National Taiwan Ocean University Kellung 202 Taiwan R.O.C. MuDer Jeng received the Ph.D. degree in computer and systems engineering from Rensselaer Polytechnic Institute
Troy NY in 1992. Since August 1992 Dr. Jeng has been with National Taiwan Ocean University Keelung Taiwan where he is currently a full Professor at the Department of Electrical Engineering. His current research interests include Petri nets discrete event systems computer integrated manufacturing semiconductor factory automation embedded systems. Dr. Jeng is the author/co-author of over 120 book chapters journal papers and conference papers. Dr. Jeng received the Franklin V. Taylor Outstanding Paper Award from the IEEE Systems Man and Cybernetics Society in 1993. He was granted the Research Award by the National Science Council of Taiwan annually from 1994 to 2000. He is an Associate Editor for IEEE Transactions on Systems Man and Cybernetics-Part A IEEE Transactions on Robotics and Automation IEEE Transactions on Robotics and serves on the Editorial Board of International Journal of Computer Integrated Manufacturing. He has been a Guest Editor for eight leading journals. Dr. Jeng is the Chair of the Technical Committee on Discrete Event Systems of the IEEE SMC Society and the Founding Chair of the Technical Committee on Semiconductor Factory Automation of the IEEE Robotics and Automation Society. He served as the Exhibitions Chair of 2003 IEEE International Conference on Robotics and Automation and the Special Sessions Chair of 2004 IEEE International Conference on Networking Sensing and Control. He serves as a Program Co-Chair of 2005 IEEE International Conference on Networking Sensing and Control and the Organization Commit
Statechart has been utilized as a visual formalism for the modeling of complex and interactive systems for its illuminating features on describing properties of causality, concurrency, and synchronization. This paper ...
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Statechart has been utilized as a visual formalism for the modeling of complex and interactive systems for its illuminating features on describing properties of causality, concurrency, and synchronization. This paper presents the application of satechart to the modeling, design and implementation of an elevator system, whose system behavior involves aggregating complexity of state descriptions, and imposition of underlying control policy. Based on the operational flow of an elevator, we derive the associated statechart model by looking into the inherent hierarchical structure of the elevator. The advantage of the proposed approach is the clear presentation of system behavior in terms of conditions and events that cause the transitions in system dynamics. Implementation of the controlled elevator based on the modeled statechart is also presented.
作者:
Kwang-Hyun ParkZeungnam BienDivision of EE
Department of EECS Korea Advanced Institute of Science and Technology 373–1 Kusong-dong Yusong-gu Taejon 305–701 Korea. Zeungname Bien:received the B.S. degree in electronics engineering from Seoul National University
Seoul Korea in 1969 and the M.S. and Ph.D. degrees in electrical engineering from the University of Iowa Iowa City Iowa U.S.A. in 1972 and 1975 respectively. During 1976–1977 academic years he taught as assistant professor at the Department of Electrical Engineering University of Iowa. Then Dr. Bien joined Korea Advanced Institute of Science and Technology summer 1977 and is now Professor of Control Engineering at the Department of Electrical Engineering and Computer Science KAIST. Dr. Bien was the president of the Korea Fuzzy Logic and Intelligent Systems Society during 1990–1995 and also the general chair of IFSA World Congress 1993 and for FUZZ-IEEE99 respectively. He is currently co-Editor-in-Chief for International Journal of Fuzzy Systems (IJFS) Associate Editor for IEEE Transactions on Fuzzy Systems and a regional editor for the International Journal of Intelligent Automation and Soft Computing. He has been serving as Vice President for IFSA since 1997 and is now Chief Chairman of Institute of Electronics Engineers of Korea and Director of Humanfriendly Welfare Robot System Research Center. His current research interests include intelligent control methods with emphasis on fuzzy logic systems service robotics and rehabilitation engineering and large-scale industrial control systems. Kwang-Hyun Park:received the B.S.
M.S. and Ph.D. degrees in electrical engineering and computer science from KAIST Korea in 1994 19997 and 2001 respectively. He is now a researcher at Human-friendly Welfare Robot System Research Center. His research interests include learning control machine learning human-friendly interfaces and service robotics.
It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of...
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It has been found that some huge overshoot in the sense of sup-norm may be observed when typical iterative learning control (ILC) algorithms are applied to LTI systems, even though monotone convergence in the sense of λ-norm is guaranteed. In this paper, a new ILC algorithm with adjustment of learning interval is proposed to resolve such an undesirable phenomenon, and it is shown that the output error can be monotonically converged to zero in the sense of sup-norm when the proposed ILC algorithm is applied. A numerical example is given to show the effectiveness of the proposed algorithm.
In the case of the traditional differential approach of solving the inverse kinematic task, depending on the desired trajectory that may approach, reach, and cross the boundaries of non-singular domains or domains of ...
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The application of a novel branch of computational cybernetics is extended to the adaptive control of very inaccurately and partly modeled electromechanical systems also having unmodeled non-linear dynamic coupling wi...
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The application of a novel branch of computational cybernetics is extended to the adaptive control of very inaccurately and partly modeled electromechanical systems also having unmodeled non-linear dynamic coupling with their environment. The method uses "uniform structures" for modeling, and "uniform procedures" for "repetitive" or cumulative learning like in the case of the "traditional" soft computing approaches. But it considerably reduces the number of free parameters tuning with simple, lucid, and explicit algebraic operations of limited number of steps. It is demonstrated via simulation that the control can operate even if strongly nonlinear terms (Coulomb friction and sticking combined with the elastic and viscous terms of the unmodeled external interaction in the Stribeck model), and elastically deformable joints are present. As a paradigm a mechanically 3 DOF SCARA arm actuated by voltage-controlled DC motors is considered. The system has 9 degrees of freedom (6 mechanical and 3 electrical). For the controller only three mechanical degrees can efficiently compensate the effect of the unmodeled degrees of freedom, the external interaction, and the inaccuracy of the modeled part of the robot.
Hydraulic differential electric servo cylinders are strongly non-linear, coupled multivariable electromechanical tools applicable for driving e.g. manipulators. The primary controllable physical agent in such systems ...
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This paper presents a comparison of PD controls in joints space for serial manipulators whose dynamics is expressed in terms of two different kinds of quasi-velocities. Robot dynamic algorithms in terms of so called n...
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ISBN:
(纸本)0780365763
This paper presents a comparison of PD controls in joints space for serial manipulators whose dynamics is expressed in terms of two different kinds of quasi-velocities. Robot dynamic algorithms in terms of so called normalized and unnormalized quasi-velocities are recursive in nature and consists of two recursions: one starts from a base of the manipulator towards its tip, and the other in an opposite direction. Both recursions are described by using a vector-matrix notation. An instantaneous eigenstructure quasi-velocity formulation, as a result of numerical mass matrix factorization, is introduced. The two PD controls were tested on the model of a manipulator with two degrees of freedom. The standard control algorithms known in robotic literature are considered for a case when the robot dynamics is formulated in terms of quasi-velocities.
This paper presents some remarks on PD control in joint space for serial manipulators whose dynamics is expressed in terms of two different kind of quasi-velocities. Robot dynamics algorithms in terms of so called nor...
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This paper presents some remarks on PD control in joint space for serial manipulators whose dynamics is expressed in terms of two different kind of quasi-velocities. Robot dynamics algorithms in terms of so called normalized quasi- velocities are recursive in nature and consists of two recursions: one starts from a base of the manipulator towards its tip and the second in opposite direction. Both recursions are described by making use of vector-matrix notation. In the second work authors introduce an instantaneous eigenstructure quasi-velocity formulation as a result of numerical mass matrix factorization. Both PD controls were tested on a model of manipulator with two degrees of freedom. In this paper we adopt standard PD control known in robotic literature to a case when robot dynamics is formulated in terms of quasi-velocities.
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