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American control Conference (ACC)

作者： Huijun Gao Lixian Zhang Peng Shi Shaoshuai Mou Changhong Wang Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China

In this paper, the problems of stability and stabilization of switched linear discrete-time systems with polytopic uncertainties are investigated. A switched parameter-dependent quadratic Lyapunov function is proposed, by which the stability conditions are derived and formulated in terms of a set of linear matrix inequalities. Based on the stability result, control synthesis is then considered and a stabilizing state-feedback controller is obtained by solving a convex optimization problem subject to linear matrix inequalities. Both mode-dependent and parameter-dependent ideas are used in stability analysis and controller design for the underlying systems. Numerical examples are given to show the less conservativeness and the potential of the obtained theoretic results

关键词： Stability Uncertainty Switched systems Lyapunov method control systems Space technology Linear matrix inequalities control system synthesis Uncertain systems Robust control

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Implementation of Emotional controller for Interior Permanent Magnet Synchronous Motor Drive

Implementation of Emotional Controller for Interior Permanen...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： R. M. Milasi Caro Lucas B. N. Arrabi T.S. Radwan M. A. Rahman Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Engineering University of Tehran Tehran Iran Faculty of Engineering &Applied Science Memorial University of Newfoundland Saint John's NEW Canada

This paper presents for the first time the real-time implementation of an emotional controller for interior permanent magnet synchronous motor (IPMSM) drives. The proposed novel controller is called brain emotional learning based intelligent controller (BELBIC). The utilization of BELBIC is based on emotion processing mechanism in brain, and is essentially an action, which is based on sensory inputs and emotional cues. The emotional learning occurs mainly in the amygdala. The amygdala is mathematically modeled, and the BELBIC controller is introduced. This type of controller is insensitive to noise and variance of the parameters. The controller is successfully implemented in real-time using a digital signal processor board ds1102 for a laboratory 1-hp IPMSM. The results show superior control characteristics especially very fast response, simple implementation and robustness with respect to disturbances and manufacturing imperfections. The proposed method enables the designer to shape the response in accordance with the multiple objectives of choices

关键词： Permanent magnet motors AC motors Machine vector control Rotors Electric variables control control theory Magnetic materials DC motors Synchronous motors Velocity control

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A Toolbox for Brain Emotional Learning Based Intelligent controller

A Toolbox for Brain Emotional Learning Based Intelligent Con...

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IEEE International Conference on engineering of Intelligent Systems, ICEIS

作者： A.R. Mehrabian C. Lucas Control and Intelligent Processing Center of Excellence Department of Mechanical Engineering University of Tehran Tehran Iran School of Cognitive Science Institute of Studies in Theoretical Physics and Mathematics Tehran Iran Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran

Brain emotional learning based intelligent controller, BELBIC, has been used for model free adaptive control of several complex industrial plants. It has proven to be very effective controller with light computational load. The aim of this research is to present a general purpose toolbox implementing BELBIC as well as examples of its performance. The user can choose to utilize default configurations or to customize specific configuration to the given plant

关键词： Nonlinear control systems Intelligent control Intelligent structures control system synthesis control systems Brain modeling Process control Power system control Power system dynamics Mechanical engineering

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Experiment and Simulation Studies of Current Distribution in Paralleled Thyristors

Experiment and Simulation Studies of Current Distribution in...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： J. Wu Z. Wang P. R. Palmer A. T. Bryant D. Remy E. Santi J. Hudgins Department of Engineering Centre for Advanced Photonics and Electronics University of Cambridge Cambridge UK Department of Engineering University of Warwick Coventry UK Alstom Power Electrical and Control Systems 3 avenue des Trois Chenes Belfort Cedex France Electrical and Computer Engineering University of South Carolina Swearingen Engineering Center Columbia SC USA Department of Electrical Engineering University of Nebraska-Lincoln Lincoln NE USA

This paper presents the problems regarding to the behaviour of current distribution among paralleled thyristors. They are addressed with the experiment of high current transformer-rectifiers. The system is further implemented in the Power System Blockset, now SimPowerSystem, in MAT-LAB/Simulink. The Fourier-series-based model is employed to study both the system performance and the device internal behaviour. The experiment and simulation reported in this paper offer valuable insight into the parallel operation of thyristors

关键词： Current distribution Thyristors Voltage Power system modeling Power engineering and energy MATLAB Circuits Mathematical model Temperature Power system simulation

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A New Model for Time-delay Systems with Application to Network Based control

A New Model for Time-delay Systems with Application to Netwo...

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Chinese control Conference (CCC)

作者： Huijun Gao Tongwen Chen James Lam Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Department of Mechanical Engineering University of Hong Kong Hong Kong China

This paper proposes a new model for time-delay systems, which contains multiple successive delay components in the state and has important applications in remote control and network based control. New results on stability and H ∞ performance are obtained for systems with two successive delay components. The second part of this paper applies the proposed new model to network based control, which has emerged as a topic of significant interest in the control community. A sampled-data networked control system with simultaneous consideration of network induced delays, data packet dropouts and measurement quantization is modelled as a time-delay system with two successive delay components in the state and, the problem of network based H ∞ control is solved accordingly.

关键词： Stability Space technology Delay effects Delay systems Application software Networked control systems Quantization Differential equations Solid modeling Mechanical engineering

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Path Planning in an Environment with Static and Dynamic Obstacles Using Genetic Algorithm: A Simplified Search Space Approach

Path Planning in an Environment with Static and Dynamic Obst...

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Congress on Evolutionary Computation

作者： H. Mahjoubi F. Bahrami C. Lucas Control and Intelligence Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran School of Cognitive Sciences Institute of Studies in Theoretical Physics and Mathematics Tehran Iran

This paper discusses a novel step by step path planning method which uses genetic algorithm (GA) to find the feasible and suitable paths in an environment with static and dynamic obstacles. To increase the speed of calculations, dimension of the search space is reduced by developing a new method to represent the environment. This representation method is based on detecting the corners of circumferential polygons of all obstacles as representatives of the environment. Each individual (or path) is a subsequence of these points including the start and destination points as the first and last genes in the sequence. Thus, each individual will be of a variable length. If an individual represents a path which passes over some obstacles, it will be unfeasible; otherwise it represents a feasible path. To produce new generations, four evolutionary operators are defined. The goal is to find a short feasible path, which clearly is not unique. In addition, using a step by step path planning approach and updating the representation of the environment at each step will result in a robust performance of the algorithm in two dimensional (2D) static and dynamic environments.

关键词： Path planning Genetic algorithms Layout Humans Robustness Manufacturing Assembly systems Transportation Process control Intelligent control

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Approximate feedback linearization of an air-breathing hypersonic vehicle

Approximate feedback linearization of an air-breathing hyper...

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AIAA Guidance, Navigation, and control Conference 2006

作者： Parker, Jason T. Serrani, Andrea Yurkovich, Stephen Bolender, Michael A. Doman, David B. Collaborative Center of Control Science Ohio State University Columbus OH 43210 United States Air Force Research Laboratory Wright-Patterson AFB OH 45433 United States Department of Electrical and Computer Engineering 2015 Neil Ave. United States AIAA United States AFRL/VACA 2210 Eighth St. United States

ISBN: (纸本)1563478196

This paper describes the design of a nonlinear control law for an air-breathing hypersonic vehicle. The model of interest includes flexibility effects and intricate couplings between the engine dynamics and flight dynamics. To overcome the analytical intractability of this model, a nominal control-oriented model is constructed for the purpose of feedback control design. Analysis performed on the nominal model reveals the presence of unstable zero dynamics with respect to the output to be controlled, namely altitude and velocity. By neglecting certain weaker couplings and resorting to dynamic extension at the input side, a simplified nominal model with full vector relative degree with respect to the regulated output is obtained. Standard dynamic inversion can then be applied to the simplified nominal model, and this results in approximate linearization of the nominal model. Finally, a robust outer loop control is designed using LQB, with integral augmentation in a model reference scheme. Simulation results are provided to demonstrate that the approximate feedback linearization approach achieves excellent tracking performance on the truth model for two choices of the system output. Finally, a brief case study is presented to qualitatively demonstrate the robustness of the design to parameter variations. Copyright © 2006 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Hypersonic aerodynamics

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Computationally tractable inventory control for large-scale reverse supply chains

Computationally tractable inventory control for large-scale ...

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American control Conference (ACC)

作者： P. Krishnamurthy F. Khorrami D. Schoenwald Control/Robotics Research Laboratory(CRRL) Department of Electrical and Computer Engineering Six Metrotech Center Polytechnic University Brooklyn NY USA Sandia National Laboratories Albuquerque NM USA

We propose a new inventory control technique for large-scale bidirectional (or closed-loop) supply chains including repairs. It is well-known that available optimization techniques are computationally intractable for bidirectional stochastic supply chains and also necessitate several simplifying assumptions. In contrast, the proposed approach is an adaptive scheme which scales well to practically interesting large-scale multi-item supply chains. Furthermore, practical issues such as stochastic transport delays, manufacturing times, and repair times and probabilistic characterization of part repair success are handled in a unified framework. The control scheme is based on a hierarchical two-level architecture comprised of an adaptive set-point generator and a lower-level order-up-to policy. An application to aircraft supply chains involving multiple OEMs, depots, bases, squadrons, and planes is also investigated

关键词： Inventory control Large-scale systems Supply chains Laboratories Manufacturing Stochastic processes Aircraft manufacture Programmable control Adaptive control Transportation

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Nonlinear modeling of a flight vehicle using fuzzy clustering

Nonlinear modeling of a flight vehicle using fuzzy clusterin...

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IEEE International Conference on Granular Computing (GRC)

作者： A.R. Mehrabian S.V. Hashemi J. Roshanian S. Mohagheghi The Control and Intelligence Processing Center of Excellence University of Tehran Iran Department of AeroSpace Engineering K.N. Toosi University of Technology Tehran Iran School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

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ROBUST STABILITY CHECKING OF A CLASS OF LINEAR INTERVAL FRACTIONAL ORDER SYSTEM USING LYAPUNOV INEQUALITY

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IFAC Proceedings Volumes 2006年第11期39卷 89-94页

作者： Hyosung Ahn YangQuan Chen Igor Podlubny Center for Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University Logan UT 84322-4160 USA Department of Applied Informatics and Process Control Technical University of Kosice B. Nemcovej 3 04200 Kosice Slovak Republic

This paper provides a new analytical robust stability checking method of fractional-order linear time invariant interval uncertain system. This paper continues the authors’ previous work (Chen et al., 2005a) where matrix perturbation theory was used. For the new robust stability checking, Lyapunov inequality is utilized for finding the maximum eigenvalue of a Hermitian matrix. Through numerical examples, the usefulness and the effectiveness of the newly proposed method are verified.

关键词： Fractional order linear dynamic systems robust stability interval linear time invariant systems interval matrix

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