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检索条件"机构=Center for Control Engineering and Computation Department of Electrical and Computer Engineering"

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Minimal fuel consumption of electric propulsion space vehicles for deep space exploration

Minimal fuel consumption of electric propulsion space vehicl...

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IEEE Conference on Aerospace

作者： B.B.R. Reddy A.C. Esterline A. Homaifar NASA Autonomous Control and Information Technology Center Department of Electrical and Computer Engineering North Carolina Agriculture and Technical State University NC USA

The objective of this research is to find a near optimal control strategy of an electric propulsion space vehicle to consume minimal fuel while traversing between two points in space. Micro genetic algorithms (GA) wit... 详细信息

关键词： Fuels Propulsion Space vehicles Space exploration Space technology Earth Optimal control Moon Planets NASA

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H∞ Model Reference control for Networked Feedback Systems

H∞ Model Reference Control for Networked Feedback Systems

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IEEE Conference on Decision and control

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

ISBN: (纸本)1424401704

This paper is concerned with the problem of H ∞ model reference control for networked feedback systems. The physical plant and the controller are, respectively, in continuous time and discrete time. By using a sampled-data approach, a new model based on the updating instants of the zeroth-order hold (ZOH) is formulated, and a linear matrix inequality (LMI) based procedure is proposed for designing state-feedback controllers, which guarantee the output of the closed-loop networked control system tracks the output of a given reference model well in the H ∞ sense. An illustrative example is presented to show the usefulness and effectiveness of the proposed H ∞ output tracking design

关键词： control systems Networked control systems Space technology Feedback Linear matrix inequalities Biological control systems Biological system modeling Industrial control Communication system control USA Councils

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Notes on averaging over acyclic digraphs and discrete coverage control

Notes on averaging over acyclic digraphs and discrete covera...

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IEEE Conference on Decision and control

作者： Chunkai Gao Francesco Bullo Jorge Cortes Ali Jadbabaie Center for Control Dynamical Systems and Computation and the Department of Mechanical Engineering University of California Santa Barbara CA USA Department of Applied Mathematics and Statistics University of California Santa Cruz CA USA Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)1424401704;9781424401703

In this paper, we show the relationship between two algorithms and optimization problems that are the subject of recent attention in the networking and control literature. First, we obtain some results on averaging algorithms over acyclic digraphs with fixed and controlled-switching topology. Second, we discuss continuous and discrete coverage control laws. Further, we show how discrete coverage control laws can be cast as averaging algorithms over discrete Voronoi graphs

关键词： Optimal control Distributed control Algorithm design and analysis Convergence USA Councils Network topology Robot sensing systems Robot kinematics Drives Laplace equations

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Management of Wireless Sensor Networks Using the Theory of Auctions

Management of Wireless Sensor Networks Using the Theory of A...

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IEEE/ACS International Conference on Pervasive Services (ICPS)

作者： Danak Rahimi-Kian Moshiri Control and Intelligent Processing Center of Excellence (CIPCE) Department of Electrical and Computer Engineering University of Tehran Tehran Iran CIPCE Department of ECE University of Tehran Tehran Iran

As an emerging technology, many researches have been focused on enhancing sensor networks in the recent years. For improving the quality of service, researchers have concentrated on the notion of mobility as a means to change the network topology. Considering each node as an intelligent agent, and using the concepts of the theory of auctions, this paper introduces a novel game theoretical approach to the sensor management problem. By obviating unnecessary communication among the nodes, and offering task changing capability to them the new method addresses more network compatibility to uncertain tasks

关键词： Wireless sensor networks Intelligent sensors Quality of service Game theory Sensor phenomena and characterization Technology management Network topology Intelligent agent Mobile communication Data processing

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Stability and stabilization of switched linear discrete-time systems with polytopic uncertainties

Stability and stabilization of switched linear discrete-time...

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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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