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control systems theory and applications for linear repetitive processes

Lecture Notes in control and Information sciences 2007年 349卷 1-476页

作者： Rogers, Eric Galkowski, Krzysztof Owens, David H. School of Electronics and Computer Science University of Southampton Southampton SO17 IBJ United Kingdom Institute of Control and Computation Engineering University of Zielona Gora Podgrna Str. 50 65-246 Zielona Gora Poland Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street SI 3JD Sheffield United Kingdom

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LANDING AN UNMANNED AIR VEHICLE: VISION BASED MOTION ESTIMATION AND NONLINEAR control

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Asian Journal of control 2008年第3期1卷

作者： Omid Shakernia Yi Ma T. John Koo Shankar Sastry Dept. of Electrical Engineering & Computer Science University of California at Berkeley Berkeley CA94720-1774 U.S.A. Tak-Kuen John Koo received the B.Eng. degree in 1992 in Electronic Engineering and the M.Phil. in 1994 in Information Engineering both from the Chinese University of Hong Kong. From 1994 to 1995 he was a graduate student in Signal and Image Processing Institute at the University of Southern California. He is currently a Ph.D. Candidate in Electrical Engineering and Computer Sciences at the University of California at Berkeley. His research interests include nonlinear control theory hybrid systems inertial navigation systems with applications to unmanned aerial vehicles. He received the Distinguished M.Phil. Thesis Award of the Faculty of Engineering The Chinese University of Hong Kong in 1994. He was a consultant of SRI International in 1998. Currently he is the team leader of the Berkeley AeRobot Team and a delegate of The Graduate Assembly University of California at Berkeley. He is a student member of IEEE and SIAM. S. Shankar Sastry received his Ph.D. degree in 1981 from the University of California Berkeley. He was on the faculty of MIT from 1980-82 and Harvard University as a Gordon McKay professor in 1994. He is currently a Professor of Electrical Engineering and Computer Sciences and Bioengineering and Director of the Electronics Research Laboratory at Berkeley. He has held visiting appointments at the Australian National University Canberra the University of Rome Scuola Normale and University of Pisa the CNRS laboratory LAAS in Toulouse (poste rouge) and as a Vinton Hayes Visiting fellow at the Center for Intelligent Control Systems at MIT. His areas of research are nonlinear and adaptive control robotic telesurgery control of hybrid systems and biological motor control. He is a coauthor (with M. Bodson) of “Adaptive Control: Stability Convergence and Robustness Prentice Hall 1989.” and (with R. Murray and Z. Li) of “A Mathematical Introduction to Robotic Manipulati

In this paper, we use computer vision as a feedback sensor in a control loop for landing an unmanned air vehicle (UAV) on a landing pad. The vision problem we address here is then a special case of the classic ego-motion estimation problem since all feature points lie on a planar surface (the landing pad). We study together the discrete and differential versions of the ego-motion estimation, in order to obtain both position and velocity of the UAV relative to the landing pad. After briefly reviewing existing algorithm for the discrete case, we present, in a unified geometric framework, a new estimation scheme for solving the differential case. We further show how the obtained algorithms enable the vision sensor to be placed in the feedback loop as a state observer for landing control. These algorithms are linear, numerically robust, and computationally inexpensive hence suitable for real-time implementation. We present a thorough performance evaluation of the motion estimation algorithms under varying levels of image measurement noise, altitudes of the camera above the landing pad, and different camera motions relative to the landing pad. A landing controller is then designed for a full dynamic model of the UAV. Using geometric nonlinear control theory, the dynamics of the UAV are decoupled into an inner system and outer system. The proposed control scheme is then based on the differential flatness of the outer system. For the overall closed-loop system, conditions are provided under which exponential stability can be guaranteed. In the closed-loop system, the controller is tightly coupled with the vision based state estimation and the only auxiliary sensor are accelerometers for measuring acceleration of the UAV. Finally, we show through simulation results that the designed vision-in-the-loop controller generates stable landing maneuvers even for large levels of image measurement noise. Experiments on a real UAV will be presented in future work.

关键词： Motion estimation computer vision based control unmanned air vehicle differential flatness

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H∞ filtering for a class of 2D systems

H∞ filtering for a class of 2D systems

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15th European Signal Processing Conference, EUSIPCO 2007

作者： Wu, Ligang Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65-246 Zielona Góra Poland Department of Electronics and Computer Science University of Southampton Southampton SO17 1BJ United Kingdom University of Wuppertal Faculty of Electrical Information and Media Engineering Communication Theory Germany

ISBN: (纸本)9788392134022

The unique characteristic of a repetitive process is a series of sweeps or passes through a set of dynamics defined over a finite duration known as the pass length. At the end of each pass, the process is reset and the next time through the output, or pass profile, produced on the previous pass acts as a forcing function on, an hence contributes to, the dynamics of the new pass profile. They are hence a class of systems with information propagation in two independent directions where here the dynamics over the finite pass length are described by a matrix linear differential equation and that from pass to pass has a discrete updating structure. This means that filtering/estimation theory/algorithms for, in particular, 2D discrete linear systems is not applicable. In this paper we solve a general filtering problem with a view toward use in the many applications where such action will be required. © 2007 EURASIP.

关键词： Dynamics

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Filtering of discrete linear repetitive processes with ∞ and 2-∞ performance

Filtering of discrete linear repetitive processes with ∞ an...

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2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

作者： Ligang, Wu Lam, James Paszke, Wojciech Galkowski, Krzysztof Rogers, Eric Kummert, Anton Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin 150001 China Department of Mechanical Engineering University of Hong Kong Pokfulam Road Hong Kong Hong Kong Institute of Control and Computation Engineering University of Zielona Góra 65-246 Zielona Góra Poland School of Electronics and Computer Science University of Southampton Southampton SO17 IBJ United Kingdom University of Wuppertal Faculty of Electrical Information and Media Engineering Communication Theory

This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive processes which are of both system-theoretic and applications interest. In particular, new results on the design of filters with guaranteed levels of performance are developed. These take the form of algorithms for the design of an ∞ and 2-∞ dynamic output feedback filter which guarantees that the resulting filtering error process is stable and has prescribed disturbance attenuation performance as measured by ∞ and 2- ∞ norms. © 2007 IEEE.

关键词： Signal filtering and prediction

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A Simplified Variable Speed Switched Reluctance Motor Drive without Using Encoder

A Simplified Variable Speed Switched Reluctance Motor Drive ...

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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. Jitkreeyarn K. Tungpimolrut P. Somsiri S. Kachapornkul Akira Chiba Norimasa Tanabe Tadashi Fukao Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

The switched reluctance motor (SRM) and drive system is a candidate in various applications including the home appliance. The simple and low cost system with an adequate performance is also one topic to be developed. A speed sensor directly increases the cost and it directly influences the reliability of the system. This paper proposes a simplified variable speed control system for the SRM without using an encoder. The method is not based on the exact rotor position estimation, only the turn off angle is determined from the simple relation between measured terminal voltage and current. The effectiveness of the proposed method is verified by the experimental result on the 3 kW 3-phase 6-stator-pole and 4-rotor-pole SRM.

关键词： Switched reluctance motor variable speed drive system turn off angle rotor position estimation

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Special Issue on Variable Structure System control — New Designs and Applications

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Asian Journal of control 2008年第4期5卷

作者： Prof. Jian-Xin Xu Prof. Leonid Fridman Department of Electrical and Computer Eng. National University of Singapore 4 Engineering Drive 3 Singapore 117576 Tel +65 6874-2566 Fax +65 6779-1103 Dr Jian-Xin Xu received his Bachelor degree from Zhejiang University China in 1982. He attended the University of Tokyo Japan where he received his Master's and Ph.D. degrees in 1986 and 1989 respectively. All his degrees are in Electrical Engineering. He worked for one year in the Hitachi research Laboratory Japan and for more than one year in Ohio State University U.S.A. as a Visiting Scholar. In 1991 he joined the National University of Singapore and is currently an associate professor in the Department of Electrical Engineering. His research interests lie in the fields of learning control variable structure control fuzzy logic control discontinuous signal processing and applications to motion control and process control problems. He is the associate editor of Asian Journal of Control member of TC on variable structure systems and sliding mode control of IEEE Control Systems Society and a senior member of IEEE. He has produced more than 90 peer-refereed journal papers near 160 technical papers in conference proceedings and authored/edited 4 books. Division de Estudios de Posgrado Facultad de Ingenieria National Autonomous University of Mexico DEP-FI UNAM Edificio “A” Circuito Exterior Ciudad Universitaria A. P. 70–256 C.P.04510 Mexico D.F. Mexico Tel +52 55 56223014 Fax +52 55 56161719 Dr. Leonid M. Fridman received his M.S in mathematics from Kuibyshev (Samara) State University Russia Ph.D. in Applied Mathematics from Institute of Control Science (Moscow) and Dr. of Science degrees in Control Science from Moscow State University of Mathematics and Electronics in 1976 1988 and 1998 respectively. In 1976–1999 Dr. Fridman was with the Department of Mathematics at the Samara State Architecture and Civil Engineering Academy Samara Russia. In 2000–2002 he was with the Department of Postgraduate Study and Investigations at the Chihuahu

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A Design of 15 kW Switched Reluctance Motor for Electric Vehicle Applications

A Design of 15 kW Switched Reluctance Motor for Electric Veh...

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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. Jitkreeyarn K. Tungpimolrut S. Kachapornkul P. Somsiri Tadashi Fukao Akira Chiba Industrial Control and Automation Laboratory Section National Electronics and Computer Technology C Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

In this paper, a design of the 3-phase, 6-stator-pole and 4-rotor-pole, 15 kW switched reluctance motor for the propulsion system of the electric vehicle is presented. Its performance such as the torque per volume and... 详细信息

关键词： Switched reluctance motor motor design electric vehicle

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The Stability Analysis of the Adaptive Fading Extended Kalman Filter

The Stability Analysis of the Adaptive Fading Extended Kalma...

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IEEE Conference on control Technology and Applications (CCTA)

作者： Kwang Hoon Kim Jang Gyu Lee Chan Gook Park Gyu In Jee Department of Electronics Engineering Brain Korea 21 Research Group Konkuk University Seoul South Korea School of Electrical Engineering and Computer Science and Automatic Control Research Center Seoul National University Seoul South Korea School of Mechanical and Aerospace Engineering and Institute of Advanced Aerospace Technology Seoul National University Seoul South Korea Department of Electronics Engineering Konkuk University Seoul South Korea

The well-known conventional Kalman filter gives the optimal solution but requires an accurate system model and exact stochastic information. Thus, the Kalman filter with incomplete information may be degraded or even diverged. In a number of practical situations, the system model and the stochastic information are incomplete. To solve this problem, a new adaptive fading Kalman filter (AFKF) using the forgetting factor has recently been proposed. This paper extends the AFKF to nonlinear system models to obtain an adaptive fading extended Kalman filter (AFEKF). The forgetting factor is generated from the ratio between the calculated innovation covariance and the estimated innovation covariance. Based on the analysis result of Reif for the EKF, the stability of the AFEKF is also analyzed.

关键词： Stability analysis Fading Stochastic systems Nonlinear equations Nonlinear systems Information filtering Information filters Adaptive filters control systems Degradation

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DC Link Voltage control of an Induction Generator/PWM Converter System

DC Link Voltage Control of an Induction Generator/PWM Conver...

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2007 International Aegean Conference on Electrical Machines and Power electronics, vol.2

作者： M. Albu V. Horga M. Ratoi C. Botan Electrical Engineering Faculty Gheorghe AsachiE2809C Technical University Iasi Romania Automatic Control and Computer Science Faculty Gheorghe AsachiE2809C Technical University Iasi Romania

The paper presents the results referring to the dc link voltage control of an induction generator/PWM converter system. This system can be used for the renewable energy sources in isolated areas. The voltage control i... 详细信息

关键词： Voltage control Induction generators Pulse width modulation converters control systems Power systems Wind turbines Analog-digital conversion Static power converters Capacitors Rectifiers

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Filtering of Discrete Linear Repetitive Processes with H and l2-l Performance

Filtering of Discrete Linear Repetitive Processes with H and...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Ligang Wu James Lam Wojciech Paszke Krzysztof Galkowski Eric Rogers Anton Kummert Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin P. R. China The University of Hong Kong Hong Kong Hong Kong China Institute of Control and Computation Engineering University of Zielona Góra Góra Poland School of Electronics and Computer Science University of Southampton Southampton U.K Faculty of Electrical Information and Media Engineering Communication Theory University of Wuppertal Germany

This paper considers the general filtering problem for a distinct class of two-dimensional (2-D) discrete linear systems, i.e. information propagation in two independent directions, known as discrete linear repetitive processes which are of both system-theoretic and applications interest. In particular, new results on the design of filters with guaranteed levels of performance are developed. These take the form of algorithms for the design of an H infin and l 2 -l infin dynamic output feedback filter which guarantees that the resulting filtering error process is stable and has prescribed disturbance attenuation performance as measured by H infin and l 2 -l infin norms.

关键词： Nonlinear filters Filtering Symmetric matrices Space technology Communication system control Attenuation measurement Algorithm design and analysis Iterative algorithms Optimal control Stability

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