| Design for Two-degree-of-freedom PID Regulator Based on Improved Generalized Extremal Optimization Algorithm |
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| 作者姓名： | 霍海波 朱新坚 曹广义 |
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| 作者单位： | Dept.of Automation Shanghai Jiaotong Univ.，Dept.of Automation，Shanghai Jiaotong Univ.，Dept.of Automation，Shanghai Jiaotong Univ.，Shanghai 200030，China，Shanghai 200030，China，Shanghai 200030，China |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | A kind of new design method for two-degree-of-freedom(2DOF)PID regulator was presented,in which,a new global search heuristic--improved generalized extremal optimization(GEO)algorithm is applied to the parameter optimization design of 2DOF PID regulator.The simulated results show that very good dynamic response performance of both command tracking and disturbance rejection characteristics can be achieved simultaneously.At the same time,the comparisons of simulation results with the improved GA,the basic GEO and the improved GEO were given.From the comparisons,it is shown that the improved GEO algorithm is competitive in performance with the GA and basic GEO and is an attractive tool to be used in the design of two-degree-of-freedom PID regulator.
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| 关 键 词： | 控制器 参数 优化设计 动力反应 |
| 文章编号： | 1007-1172（2007）02-0148-05 |
| 修稿时间： | 2006-08-21 |
Design for Two-degree-of-freedom PID Regulator Based on Improved Generalized Extremal Optimization Algorithm |
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| HUO Hai-bo,ZHU Xin-jian,CAO Guang-yi.Design for Two-degree-of-freedom PID Regulator Based on Improved Generalized Extremal Optimization Algorithm[J].Journal of Shanghai Jiaotong university,2007,12(2):148-152,158. |
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| Authors: | HUO Hai-bo ZHU Xin-jian CAO Guang-yi |
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| Institution: | Dept. of Automation, Shanghai Jiaotong Univ., Shanghai 200030, China |
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| Abstract: | A kind of new design method for two-degree-of-freedom(2DOF)PID regulator was presented,in which,a new global search heuristic--improved generalized extremal optimization(GEO)algorithm is applied to the parameter optimization design of 2DOF PID regulator.The simulated results show that very good dynamic response performance of both command tracking and disturbance rejection characteristics can be achieved simultaneously.At the same time,the comparisons of simulation results with the improved GA,the basic GEO and the improved GEO were given.From the comparisons,it is shown that the improved GEO algorithm is competitive in performance with the GA and basic GEO and is an attractive tool to be used in the design of two-degree-of-freedom PID regulator. |
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| Keywords: | two-degree-of-freedom control PID regulator generalized extremal optimization (GEO) optimization design |
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