| MATTER-ELEMENT MODELING OF PARALLEL STRUCTURE AND APPLICATION ABOUT EXTENSION PID CONTROL SYSTEM |
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| 作者姓名： | Rongde LU Zonghai CHEN |
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| 作者单位： | [1]Department of Astronomy and Application Physics, University of Science and Technology of China, Hefei 230026, China. [2]Devartment of Automation, University of Science and Technoloqy of China, Hefei 230027, China |
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| 基金项目： | This work is supported by Youth Foundation of University of Science and Techonology of China （No. KA0001）. |
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| 摘 要： | This article describes in detail a new method via the extension predictable algorithm of the matter-element model of parallel structure tuning the parameters of the extension PID controller. In comparison with fuzzy and extension PID controllers, the proposed extension PID predictable controller shows higher control gains when system states are away from equilibrium, and retains a lower profile of control signals at the same time. Consequently, better control performance is achieved. Through the proposed tuning formula, the weighting factors of an extension-logic predictable controller can be systematically selected according to the control plant. An experimental example through industrial field data and site engineers＇ experience demonstrates the superior performance of the proposed controller over the fuzzy controller.
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| 关 键 词： | 扩展控制系统 事件建模 并行结构 PID控制 预测算法 |
| 收稿时间： | 2005-03-22 |
| 修稿时间： | 2005-03-222006-10-15 |
Matter-Element Modeling of Parallel Structure and Application about Extension PID Control System |
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| Rongde LU Zonghai CHEN.MATTER-ELEMENT MODELING OF PARALLEL STRUCTURE AND APPLICATION ABOUT EXTENSION PID CONTROL SYSTEM[J].Journal of Systems Science and Complexity,2006,19(2):227-235. |
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| Authors: | Rongde Lu Zonghai Chen |
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| Institution: | (1) Department of Astronomy and Application Physics, University of Science and Technology of China, Hefei, 230026, China;(2) Department of Automation, University of Science and Technology of China, Hefei, 230027, China |
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| Abstract: | This article describes in detail a new method via the extension predictable algorithm of the matter-element model of parallel structure tuning the parameters of the extension PID controller.In comparison with fuzzy and extension PID controllers,the proposed extension PID predictable controller shows higher control gains when system states are away from equilibrium,and retains a lower profile of control signals at the same time.Consequently,better control performance is achieved.Through the proposed tuning formula,the weighting factors of an extension-logic predictable controller can be systematically selected according to the control plant.An experimental example through industrial field data and site engineers experience demonstrates the superior performance of the proposed controller over the fuzzy controller. |
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| Keywords: | Extension control system matter modeling parallel structure PID predictable algorithm |
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