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DOI:
计算机系统应用英文版:2012,21(4):212-215
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混合PSO在最小均方误差调节器中的应用
(海军航空工程学院 控制工程系, 烟台 264001)
Application of Hybrid PSO to Least Mean Square Error Regulator
(Department of Control engineering, Naval Aeronautical and Astronautical University, Yantai 264001, China)
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Received:August 05, 2011    Revised:October 01, 2011
中文摘要: 利用最小均方误差调节器来改善有限拍系统是一种常用的方法,而调节器参数的选择是非常重要的。本文在确定最小均方误差调节器的过程中设计基于模拟退火的粒子群算法对参数进行了优化,并对一具体系统进行了仿真。结果表明,混合粒子群算法比单独使用粒子群算法和模拟退火算法的效果要好,同相关文献确定参数方法相比,系统的超调量和调节时间都得到了明显的改善,验证了所提算法的有效性。
Abstract:The least mean square error regulator is adopted to improve performance of the dead beat control system as one method in common use, while selection of the regulator parameter is very important. This paper designs the particle swarm optimization algorithm based on simulated annealing to optimizing parameter in the course of defining the least mean square error regulator, which is used in simulating the concrete system. The results show that Hybrid PSO can get better optimization effect than SA or PSO single used, compared with the method of determining parameters in the relevant literature,while the overshoot and settling time of the system are improved obviously, which validates the effectiveness of the algorithm put forward.
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基金项目:安徽省教育厅自然科学基金(2005KJ004ZD)
引用文本:
吴华丽,吴进华,柳爱利.混合PSO在最小均方误差调节器中的应用.计算机系统应用,2012,21(4):212-215
WU Hua-Li,WU Jin-Hua,LIU Ai-Li.Application of Hybrid PSO to Least Mean Square Error Regulator.COMPUTER SYSTEMS APPLICATIONS,2012,21(4):212-215