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2007 European Conference on Power Electronics and Applications (EPE 2007), vol.6

作者： Daniel Kurschner Rudolf Mecke Institut f. Automation u. Kommunikation Magdeburg Wireless Power Transmission Barleben Germany Department of Automation and Computer Sciences Professorship of Automatic Control and Electrical Drives Hochschule Harz University of Applied Studies and Research Wernigerode Germany

ISBN: (纸本)9789075815115;9075815115

The use of a matrix converter for contactless energy transmission in the power range of several kilowatts reduces the number of energy conversion steps, avoids electrolytic DC link capacitor on the primary side, reduces losses in power semiconductors and enables sinusoidal line currents and a four-quadrant operation. In his application as a feeding converter a high output frequency is required (greater than 100kHz). The transferable electric power and the efficiency of contactless magnetic systems can considerably be improved. Because of the high output frequency, high-performance signal processing elements are needed. To get a constant d.c. output voltage the matrix converter offers new concepts for regulating variables. The paper describes special aspects of new control and regulating techniques of the three phase matrix converter in combination with contactless energy transmission.

关键词： Wireless power transmission Magnetic device Matrix converter Modulation strategy Harmonics High frequency power converter Power Quality Three-phase system Resonant converter Switched-mode power supply ZCS converters

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Uncertainty Modeling and Robust control of LTI Systems Based on Integral Quadratic Constraints

Uncertainty Modeling and Robust Control of LTI Systems Based...

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IEEE International Conference on Intelligent Engineering Systems (INES)

作者： G. Rodonyi B. Lantos J. Bokor Computer and Automation Research Institute Hungarian Academy of Sciences (ATOMKI) Hungary Department of Control Engineering and Information Technology Budapest University슠of슠Technology슠and슠Economics Hungary

Based on experimental data a joint method for nominal model error modeling and robust control is presented for linear time-invariant (LTI) systems. The goal of the method is to design a controller that attain robust quadratic performance and stability of the closed loop, and simultaneously construct an uncertainty model that is not invalidated by measurement data. The problem is motivated by the need for non-conservative and reliable modeling of neglected or unknown dynamics and effect of outer disturbances. The components of dynamic errors and disturbances are balanced in the model in order to improve conditions for designing the specified controller. The problem statement and solution is formulated in terms of integral quadratic constraints (IQCs) and linear matrix inequalities (LMIs). The resulted method is a modified version of the well-known DK-iteration in μ -synthesis.

关键词： Uncertainty Robust control Error correction Electronic mail Robust stability Uncertain systems Context modeling automation control engineering Information technology

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MARKOV DECISION PROCESSES WITH UNCERTAIN TRANSITION RATES: SENSITIVITY AND MAX HYPHEN MIN control

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Asian Journal of control 2008年第2期6卷

作者： Suresh Kalyanasundaram Edwin K. P. Chong Ness B. Shroff Motorola India Electronics Limited No. 66/1 Plot 5 Bagmane Techpark C. V. Raman Nagar Post Bangalore 560 093 India. Department of Electrical and Computer Engineering Colorado State University Fort Collins CO 80523-1373 USA. Professor Edwin K. P. Chong received the B.E.(Hons.) degree with First Class Honors from the University of Adelaide South Australia in 1987 graduating top of his class and the M.A. and Ph.D. degrees in 1989 and 1991 respectively both from Princeton University where he held an IBM Fellowship. He joined the School of Electrical and Computer Engineering at Purdue University in 1991 where he was named a University Faculty Scholar in 1999 and promoted to Full Professor in 2001. Since August 2001 he has been a Professor of Electrical and Computer Engineering and Professor of Mathematics at Colorado State University. His current interests are in communication networks and optimization methods. He coauthored the best-selling book An Introduction to Optimization 2nd Edition Wiley-Interscience 2001. He received the NSF CAREER Award in 1995 and the ASEE Frederick Emmons Terman Award in 1998. He coauthored a paper that was awarded Best Paper in the journal Computer Networks 2003. Professor Chong is a Fellow of the IEEE. He was founding chairman of the IEEE Control Systems Society Technical Committee on Discrete Event Systems and until recently served as an IEEE Control Systems Society Distinguished Lecturer. He has been on the editorial board of the IEEE Transactions on Automatic Control. He is currently on the editorial board of the journal Computer Networks. He has also served on the organizing committees of several international conferences. He has been on the program committees for the IEEE Conference on Decision and Control the American Control Conference the IEEE International Symposium on Intelligent Control IEEE Symposium on Computers and Communications and the IEEE Global Telecommunications Conference. He has also served in the executive committees for the IEEE Co

Solution techniques for Markov decision problems rely on exact knowledge of the transition rates, which may be difficult or impossible to obtain. In this paper, we consider Markov decision problems with uncertain transition rates represented as compact sets. We first consider the problem of sensitivity analysis where the aim is to quantify the range of uncertainty of the average per-unit-time reward given the range of uncertainty of the transition rates. We then develop solution techniques for the problem of obtaining the max-min optimal policy, which maximizes the worst-case average per-unit-time reward. In each of these problems, we distinguish between systems that can have their transition rates chosen independently and those where the transition rates depend on each other. Our solution techniques are applicable to Markov decision processes with fixed but unknown transition rates and to those with time-varying transition rates.

关键词： Markov decision processes sensitivity max-min control call admission control policy iteration

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MODELING AND control OF ELEVATORS BY STATECHARTS

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Asian Journal of control 2008年第2期6卷

作者： Yi-Sheng Huang Sheng-Luen Chung Mu-Der Jeng Department 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 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.

关键词： Statechart interactive systems elevator

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Federated filtering for fault tolerant estimation and sensor redundancy management in coupled dynamics distributed systems

Federated filtering for fault tolerant estimation and sensor...

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Mediterranean Conference on control and automation (MED)

作者： A. Edelmayer M. Miranda Faculty of Engineering Department of Chemical Engineering Laboratory of Unit Operations University de Los Andes Merida Venezuela Systems and Control Laboratory Computer and Automation Research Institute Hungarian Academy of Sciences Budapest Hungary

This paper discusses the application of the idea of federated filtering to the estimation of intrinsically nonlinear distributed systems by examining its impacts on filtering performance by using the Extended Kalman Filter (EKF) as state estimator. Specifically, the performance of the traditional centralized solution is compared with the filtering structure obtained using the federating idea, and their conceptions, and their ability to balance between fault tolerance and estimation accuracy is examined. Our research demonstrates how successfully the EKF for solving nonlinear estimation problems in federated structures can be used, noting that the idea of federation have only been demonstrated for linear problems previously. In addressing the demands of both fault tolerance and estimation accuracy, it is shown that increased filtering accuracy is relied on the proper choice of sharing of the error covariance information between local filters, while sensor fault tolerance is provided by the utilization of an appropriate resetting policy of the filter.

关键词： Fault tolerant systems Sensor systems Redundancy Nonlinear filters Fault tolerance control systems Information filtering Information filters computer architecture Sensor arrays

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Ridgelet transform with application in ground penetrating radar processing

Ridgelet transform with application in ground penetrating ra...

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International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Zhi-Yu Zhang Jiu-Long Zhang Hai-Yan Yu Yan-Jun Lu School of Automation and Information Engineering Xi''an University of Technology Xi'an China School of Computer Science and Engineering Xi''an University of Technology Xi'an China Department of Information & Control Xi''an Institute of Posts and Telecommunications Xi'an China

Ridgelet is the new development of wavelet dealing with line singularities in signals. In goundpenetrating radar (GPR) signal, the direct wave is a strong noise which has line singularity. In time-space domain, the useful information in GPR signal is badly polluted by strong direct wave so that the underground targets can not be recognized correctly. Ridgelet overcomes the disadvantages of wavelets in dealing with high dimensions that it can effectively represent singularities along lines or hyperplanes. Concerning the characteristics of GPR signals, the ridgelet transform is employed to remove the background noise and separate the direct wave. The simulation results for real GPR signals demonstrate its effectiveness.

关键词： Ground penetrating radar Wavelet transforms Continuous wavelet transforms Wavelet analysis Noise reduction Pattern analysis Pattern recognition Signal processing Pollution

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Three-Phase Full-Bridge Converters Applied to Switched Reluctance Motor Drives with a Modified Switching Strategy

Three-Phase Full-Bridge Converters Applied to Switched Reluc...

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International Conference on Electrical Machines and Systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： P. Somsiri K. Tungpimonrut P. Aree Industrial Control and Automation Lab National Electronics and Computer Technology Center Thailand Industrial Control and Automation Lab National Electronics and Computer Technology Center Thailand Department of Electrical Engineering Thammasat University Thailand

This paper presents an improved switching strategy for three-phase full-bridge converters applied to switched reluctance motor (SRM) drives. The modified switching strategy is based on the idea that in every electrical cycle the two switches in same leg of the converter alternate their commutating without using dead time. This drive method has several advantages including low cost, compactness, no dead time required, reduced number of switching pulses, and consequently reduced switching loss. The proposed method is analyzed and the experimental is investigated on 1.5 kW, three-phase 6/4 poles SRM which is designed for small electric vehicles by using standard three-phase full-bridge converter. The experimental results have confirmed an acceptable performance of this proposed technique.

关键词： Switched reluctance motor three-phase fullbridge converter switching strategy two-phase excitation.

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Energy-based Decentralized Excitation control of Nonlinear Differential Algebraic Power Systems

Energy-based Decentralized Excitation Control of Nonlinear D...

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International Conference on control and automation (ICCA)

作者： Yanhong Liu Chunwen Li Yuzhen Wang Jianyong Li School of Electrical Engineering University of Zhengzhou Zhengzhou China Department of Automation Tsinghua University China School of Control Science and Engineering Shandong University China School of Computer and Communication Engineering Zhengzhou Institute of Light Industry China

Using the Hamiltonian function method, we investigate the excitation control of power systems presented by nonlinear differential algebraic equations. First, a novel Hamiltonian realization structure for nonlinear differential algebraic systems is applied to the power system. Then we propose a decentralized nonlinear excitation control scheme and analyze the stability of the closed loop system. This strategy takes advantage of the intrinsic properties including especially the internal power balance of the differential algebraic power system model. Simulation illustrates the effectiveness of the control strategy.

关键词： Nonlinear control systems control systems Power system control Power systems Power system stability Power system analysis computing Power system modeling Power system simulation Differential algebraic equations control system analysis

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Neural network feedforward control for mechanical systems with external disturbances

Neural network feedforward control for mechanical systems wi...

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Proceedings of the 46th IEEE Conference on Decision and control, Pages 2301-2758

作者： Xuemei Ren Frank L Lewis Shuzhi Sam Ge Jingliang Zhang Department of Automatic Control Beijing Institute of Technology Beijing China Automation and Robotics Research Institute University of Texas Arlington Fort worth TX USA Department of Electrical and Computer Engineering National University of Singapore Singapore ASTAR Data Storage Institute Singapore

ISBN: (纸本)9781424414970;1424414970

In this paper, a novel feedforward control based on accelerometer measurements is proposed for mechanical systems with external disturbances. The control scheme includes a feedback controller and a neural network feedforward compensator. The feedback controller is employed to guarantee the stability of the mechanical systems, while the neural network is used to provide the required feedforward compensation input for trajectory tracking with the help of a sensor to detect external vibrations. Dynamics knowledge of the plant, disturbances and the sensor is not required. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Simulation results show that the proposed controller performs well for a hard disk drive system and a two-link manipulator.

关键词： Mechanical systems external disturbance feedback controller FEEDFORWARD control disk drive system Neural network Sensors trajectory tracking

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Robust quadratic optimal control of uncertain TS-fuzzy-model-based dynamic systems

Robust quadratic optimal control of uncertain TS-fuzzy-model...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wen-Hsien Ho Jinn-Tsong Tsai Tung-Kuan Liu Jyh-Horng Chou Department of Medical Information Management Kaohsiung Medical University Taiwan Department of Computer Science National Ping Tung University of Education Taiwan Department of Mechanical and Automation Engineering National Kaohsiung First University of Science and Technology Taiwan Institute of System Information and Control National Kaohsiung First University of Science and Technology Kaohsiung Taiwan

This paper considers the design problem of the robust quadratic-optimal parallel-distributed-compensation (PDC) controllers for the Takagi-Sugeno (TS) fuzzy-model- based control systems with both elemental parametric uncertainties and norm-bounded approximation error. An integrative method, which complementarily fuses the robust stabilizability condition, the orthogonal-functions approach (OFA) and the hybrid Taguchi-genetic algorithm (HTGA), is presented in this paper to design the robust quadratic-optimal PDC controllers, in which the robust stabilizability condition is proposed in terms of linear matrix inequalities (LMIs).

关键词： Robust control Optimal control Nonlinear control systems control systems Uncertainty Approximation error Fuzzy control Fuzzy systems Algorithm design and analysis Nonlinear dynamical systems

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