| 基于自适应遗传算法优化的模糊PID控制在实验轧机中的应用研究 |
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| 引用本文： | 温良,杨明国,贺小峰,罗亮,陈威.基于自适应遗传算法优化的模糊PID控制在实验轧机中的应用研究[J].机床与液压,2011(17). |
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| 作者姓名： | 温良 杨明国 贺小峰 罗亮 陈威 |
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| 作者单位： | 华中科技大学机械科学与工程学院;海军驻武汉三江航天集团军代表室; |
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| 摘 要： | 轧机板厚控制系统是一个具有非线性和时变特性的复杂系统,采用普通PID控制往往难以取得满意的控制效果。针对Hille 100实验轧机,建立其简化的数学模型,并采用模糊PID控制策略对其进行控制。模糊控制规则是模糊PID控制器设计的关键,采用自适应遗传算法(AGA)对其进行优化。仿真结果表明:优化后的模糊PID控制器具有更好的动态响应特性,控制效果得到了进一步改善。
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| 关 键 词： | 模糊PID控制 模糊控制规则 自适应遗传算法 优化 |
Application of Fuzzy PID Control Based on AGA in Experimental Rolling Mill |
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| WEN Liang,YANG Mingguo,HE Xiaofeng,LUO Liang,CHEN Wei.Application of Fuzzy PID Control Based on AGA in Experimental Rolling Mill[J].Machine Tool & Hydraulics,2011(17). |
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| Authors: | WEN Liang YANG Mingguo HE Xiaofeng LUO Liang CHEN Wei |
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| Affiliation: | WEN Liang1,YANG Mingguo2,HE Xiaofeng1,LUO Liang1,CHEN Wei1(1.Huazhong University of Science and Technology,Wuhan Hubei 430074,China,2.Naval Representative Office in Sanjiang Space Group,Xiaogan Hubei 432100,China) |
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| Abstract: | Rolling mill gauge control system is nonlinear and time-varying.It's difficult for PID controller to get satisfactory control effect.The simplified math model of Hille 100 experimental rolling mill was built and fuzzy-PID control was introduced.Fuzzy control rules were the key to the controller.Adaptive genetic algorithm(AGA)was applied to optimize the rules.The simulation results show that optimized fuzzy-PID controller has better dynamic character and control performance. |
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| Keywords: | Fuzzy-PID control Fuzzy control rules Adaptive genetic algorithm Optimization |
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