In this paper, a decoupled hybrid control of velocity and tension is applied to cold rolling system with a disturbance observer in simulation. This innovative method controls the strip tension and line speed independe...
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In this paper, a decoupled hybrid control of velocity and tension is applied to cold rolling system with a disturbance observer in simulation. This innovative method controls the strip tension and line speed independently in orthogonally-crossed two modal spaces: the differential mode and the common mode. In the proposed system, even if the operator changes the line speed, the target tension is maintained at constant value. As a result, the product quality and stability of the cold rolling process are improved.
作者：
F.L. LewisDept. of Electical Engineering
The University of Texas at Arlington U.S.A. F. L. Lewis was born in Wärzburg. Germany
subsequently studyning in Chile and Goruonstoun School in Scotland. He obtained the Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree at Rice University in 1971. He spent six years in the U.S. navy serving as Navigator aboard the frigate USS Trippe (FF-1075) and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida. In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor. He is a Professor of Electrical Engineering at The University of Texas at Arlington where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation and Robotics Research Institute. Dr. Lewis has studied the geometric analytic and structural properties of dynamical systems and feedback control automation. His current interests include robotics intelligent control neural and fuzzy systes nonlinear systems and manufacturing process control. He is the author/co-author of 2 U.S. patents 124 journal papers 20 chapters and encyclopedia articles 210 refereed conference papers seven books: Optimal Control Optimal Estimation Applied Optimal Control and Estimation Aircraft Control and Simulation Control of Robot Manipulators Neural Network Control High-Level Feedback Control with Neural Networks and the IEEE reprint volume Robot Control. Dr. Lewis is a registered Professional Engineer in the State of Texas and was selected to the Editorial Boards of International Journal of Control Neural Computing and Applications and Int. J. Intelligent Control Systems. He is the recipient of an NSF Research Initiation Grant and has been continuously funded by NSF since 1982. Since 1991 he has received $1.8 m
A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them t...
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A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them to be used in feedback control of unknown systems without requirements for linearity in the system parameters or finding a regression matrix. Nonlinear nets can be linear or nonlinear in the tunable weight parameters. In the latter case weight tuning algorithms are not straightforward to obtain. Feedback control topologies and weight tuning algorithms are given here that guarantee closed-loop stability and bounded weights. Extensions are discussed to force control, backstepping control, and output feedback control, where dynamic nonlinear nets are required.
作者：
Finlayson, A.J.Senior Design Engineer
Process Control Section Systems and Equipment Engineering Department Warrington Cheshire WA3 6AS United Kingdom
作者：
Y. IdaSection 2
Development & Engineering Department2 Process Control Systems Business Division Yokogama Electric Corporation Musashino Tokyo Japan
In plant control, sophisticated controlsystems are implemented by closely combining sequence-control and feedback-control functions. In order to construct such a control system with CAD (computer-aided design) induce...
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In plant control, sophisticated controlsystems are implemented by closely combining sequence-control and feedback-control functions. In order to construct such a control system with CAD (computer-aided design) induced techniques, the author uses loop diagrams for feedback control and logic diagrams for sequence control in an engineering workstation. The operating condition of the control system is also monitored using input diagrams.< >
A survey of the 40 member nations of the International Federation of Automatic control and of the literature discloses about 40 applications of digital computers to fertilizer plants for the purpose of on-line control...
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A survey of the 40 member nations of the International Federation of Automatic control and of the literature discloses about 40 applications of digital computers to fertilizer plants for the purpose of on-line control. These systems are primarily in ammonia plants with one or two in nitric acid plants. Benefits of computerization of these plants, as well as the technical details are discussed.
This paper describes TRANSIM simulation a a method for solving problems. There is a brief discussion of modeling and its importance. TRANSIM is compared with other general purpose simulators, special purpose simulatio...
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