| 进化规划模糊算法在PID控制中的应用 |
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| 引用本文： | 曾俊杰,陈得宝,刘暾东,李茂青. 进化规划模糊算法在PID控制中的应用[J]. 控制工程, 2006, 0(Z1) |
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| 作者姓名： | 曾俊杰 陈得宝 刘暾东 李茂青 |
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| 作者单位： | 厦门大学自动化系 淮北煤炭师范学院物理系 厦门大学自动化系 福建厦门 安徽淮北 福建厦门 |
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| 基金项目： | 厦门大学985二期信息创新平台资助项目 |
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| 摘 要： | 针对非线性控制系统,利用进化规划模糊算法,对PID控制器规则基的参数进行离线优化,优化后的模糊控制规则可对系统实现实时控制。该控制算法无需任何先验知识和量化因子,具有很强的数据挖掘能力,且模糊规则基的寻优速度较快。通过对非线性系统进行仿真,验证了该算法的有效性,与传统固定参数PID控制方法及遗传算法整定参数PID控制方法相比,明显地提高了系统的稳定性和动态性能。
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| 关 键 词： | 模糊算法 进化规划 规则基自动获取 PID控制器 |
Application of Evolutionary Programming and Fuzzy Algorithm in PID Control |
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| ZENG Jun-jie,CHEN De-bao,LIU Tun-dong,LI Mao-qing. Application of Evolutionary Programming and Fuzzy Algorithm in PID Control[J]. Control Engineering of China, 2006, 0(Z1) |
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| Authors: | ZENG Jun-jie CHEN De-bao LIU Tun-dong LI Mao-qing |
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| Affiliation: | ZENG Jun-jie~1,CHEN De-bao~2,LIU Tun-dong~1,LI Mao-qing~1 |
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| Abstract: | An evolutionary programming and fuzzy algorithm is proposed for nonlinear complicated systems.Evolutionary programming is used in offline training to optimize controller's rule base.Then the optimized base is implemented in online control.The novel method doesn't need any numerical factor and prior experience while possessing strong data-mining ability and rapid optimized speed of fuzzy rule base.Finally,compared with the traditional PID control algorithm and the PID controller with the genetic algorithm based parameter adjustment the simulation result shows that the proposed method has made a great step in the stability and dynamic performance of the given system. |
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| Keywords: | fuzzy algorithm evolutionary programming automatic fuzzy rule acquisition PID controller |
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