| 基于微粒群优化的模型参考自适应控制 |
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| 引用本文： | 徐志成,张建明,苏成立,王树青. 基于微粒群优化的模型参考自适应控制[J]. 高技术通讯, 2006, 16(3): 262-266 |
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| 作者姓名： | 徐志成 张建明 苏成立 王树青 |
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| 作者单位： | 浙江大学先进控制技术研究所工业控制技术国家重点实验室,杭州,310027;浙江大学先进控制技术研究所工业控制技术国家重点实验室,杭州,310027;浙江大学先进控制技术研究所工业控制技术国家重点实验室,杭州,310027;浙江大学先进控制技术研究所工业控制技术国家重点实验室,杭州,310027 |
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| 摘 要： | 针对复杂非线性对象提出了一种基于微粒群优化(PSO)的PID自适应控制方法.通过运用PSO算法对PID控制器参数进行在线调整,使模型参考自适应控制达到理想的控制效果.将该方法引入到连续搅拌反应釜这一复杂的非线性系统,仿真结果表明了该方法的良好性能.
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| 关 键 词： | 微粒群优化 自适应控制 连续搅拌釜 |
| 收稿时间： | 2005-07-04 |
| 修稿时间： | 2005-07-04 |
Model reference adaptive control based on particle swarm optimization algorithm |
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| Xu Zhicheng,Zhang Jianming,Su Chengli,Wang Shuqing. Model reference adaptive control based on particle swarm optimization algorithm[J]. High Technology Letters, 2006, 16(3): 262-266 |
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| Authors: | Xu Zhicheng Zhang Jianming Su Chengli Wang Shuqing |
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| Affiliation: | National Laboratory of Industrial Control Technology, Institute of Advanced Process Control, Zhejiang University, Hangzhou 310027 |
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| Abstract: | Aiming at the complex nonlinear system, a PID self-adaptive control method based on the PSO algorithm is stated in the paper. Using the PSO algorithm to optimize the on-line PID controller's parameters, desirable control effect is obtained. An application of this method to the control of the continuous Stirred Tank Reactor(CSTR) system which is a complex nonlinear system is studied. Simulation results show the validity of the method. |
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| Keywords: | particle swarm optimization (PSO) adaptive control CSTR |
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