作者:
Suresh KalyanasundaramEdwin K. P. ChongNess B. ShroffMotorola 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 tran...
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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.
This paper presents a method for evolutionary optimization of a cascaded control structure for an industrial hydraulic valve. It proposes an iterative optimization scheme, in which the controller optimization alters b...
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ISBN:
(纸本)9781424412631;1424412633
This paper presents a method for evolutionary optimization of a cascaded control structure for an industrial hydraulic valve. It proposes an iterative optimization scheme, in which the controller optimization alters between inner and outer loop parameters. The evolutionary optimization is a combination of hardware-in-the-loop evaluation of the pilot valve and a dynamic simulation of the main valve behavior. The experimental results demonstrate that the intertwined scheme results in faster convergence as it breaks down the overall optimization of the cascaded control structure into the less complex subproblems of separate optimization of inner and outer loop.
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. ...
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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.
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...
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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 its efficiency are compared to the machine which is designed based on the conventional design guideline.
In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules a...
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ISBN:
(纸本)9780780393110
In this paper, fuzzy supervisory PI controllers are developed and implemented on a pilot plant binary distillation column. Fuzzy c-means clustering technique is used in selecting membership functions and fuzzy rules are determined using fuzzy gain scheduling technique. Thus, the need of heuristic method for designing fuzzy membership functions and rules from expert knowledge is omitted. Then, the fuzzy supervisors adapt the parameters of the PI controllers on line. The task of the controllers is to perform dual composition control of the top and bottom products when the disturbances enter the column in the form of changes in feed flow rate. The results show that the fuzzy supervisory PI controllers achieve much better performance than the fixed PI controllers.
In this paper, an optimum fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output ...
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ISBN:
(纸本)9780780393110
In this paper, an optimum fuzzy supervisory PI controller using hierarchical genetic algorithms is developed and implemented for controlling the top and bottom product quality of a nonlinear, multi-input multi-output binary distillation column when the disturbance enters the column in the form of the changes in feed How rate. Two conventional PI controllers, one for the bottom product composition and another for the top product composition, are used together in the control scheme. Hierarchical genetic algorithms are used to derive the optimal number and shape of membership functions and fuzzy rules of a fuzzy supervisory system that adapts the parameters of the PI controllers. The real-time implementation results show the effectiveness of the proposed method.
The design of mechatronic systems requires extensive knowledge from various disciplines that has to be mastered, applied, and cross-linked. In the various softwares employed, knowledge is formalised and saved for reus...
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The design of mechatronic systems requires extensive knowledge from various disciplines that has to be mastered, applied, and cross-linked. In the various softwares employed, knowledge is formalised and saved for reuse. Academic education has to teach students how to work with software systems while taking into account the theoretical contents and methods and using examples that have a strong relation to research. The research projects serve as innovation pools where new concepts and innovative ideas are developed and realized. An example taken from the lecture course on simulation technology will illustrate the way the students are imparted knowledge on methods of generating and analyzing the equations describing mechatronic systems and also the manner in which they acquire the ability to perform simulations and assess the results.
The aim of this paper is to give an overview about some ideas that have been introduced in past few years to the course Automatic control Fundamentals at FCFT STU. These involve heavy use of information technologies a...
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Virtual 3D models play important role in a today factory layout design, physical modeling, control synthesis, performance analysis, dynamic simulation and visualization of real systems. In this paper, we go one step f...
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Virtual 3D models play important role in a today factory layout design, physical modeling, control synthesis, performance analysis, dynamic simulation and visualization of real systems. In this paper, we go one step further and besides visualization, we monitor all measurable states in the real system and use active 3D models in-the-loop for real-time supervisory control. Such concept enables an event detection not possible with conventional sensors, including the ability to predict possible outcomes in the system operation. A virtual environment simulator and the way it can be connected to other simulators (e.g., Matlab/Simulink), is presented. The examples of virtual sensors, and collision free-based trajectory planning for robotic manipulators are demonstrated
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