基于拟混沌人群搜索算法PID参数优化研究
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摘要
为解决PID控制器在复杂非线性系统和复杂信号的追踪问题中存在的局限性,改善和优化PID控制器的性能,提出拟混沌人群搜索算法(ICSOA),引入自适应权重策略、Logistic混沌初始化和精英策略改善局部求精能力和全局搜索能力。将PID三个参数为搜寻队伍,以控制输入平方项的时间和误差的平方并积分作为优化目标,进行PID参数整定。利用MATLAB仿真软件进行仿真,并分别与传统的PID整定方法(Ziegler-Nichols法)和基本的人群搜索算法(SOA)进行比较。结果表明,ICSOA实现了PID参数的整定,提高了控制器的性能,为控制系统中PID参数整定提供了依据。
In order to solve the limitations of the PID controller which existing in the complex nonlinear system and complex signal tracking and improve and optimize the performance of the PID controller,a imitating chaos seeker optimization algorithm( ICSOA) is proposed to solve the problem. The adaptive weighting strategy,Logistic chaos initialization and elite strategy were introduced to improve the local refinement ability and global search ability. We took the three parameters of PID as a search team,and the integration of the squared error and the squared control input as the optimization goals of parameter setting. The MATLAB simulation result was compared with the traditional PID setting method( Ziegler-Nichols method) and primary seeker optimization algorithm( SOA). Simulation results show that ICSOA can set PID parameters and enhance the performance of the controller. It provides the basis for the PID parameter setting of control system.
In order to solve the limitations of the PID controller which existing in the complex nonlinear system and complex signal tracking and improve and optimize the performance of the PID controller,a imitating chaos seeker optimization algorithm( ICSOA) is proposed to solve the problem. The adaptive weighting strategy,Logistic chaos initialization and elite strategy were introduced to improve the local refinement ability and global search ability. We took the three parameters of PID as a search team,and the integration of the squared error and the squared control input as the optimization goals of parameter setting. The MATLAB simulation result was compared with the traditional PID setting method( Ziegler-Nichols method) and primary seeker optimization algorithm( SOA). Simulation results show that ICSOA can set PID parameters and enhance the performance of the controller. It provides the basis for the PID parameter setting of control system.
引文
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[2]余胜威,丁建明,曹中清.改进SOA算法在焊缝图像分割中的应用[J].铁道科学与工程学报,2015-6:1471-1477.
[3]宋莉莉,张宏立,基于微粒群算法的PID控制器优化研究[J].计算机仿真,2012,29(5):231-234.
[4]李远梅,张宏立.基于改进萤火虫算法PID控制器参数优化研究[J].计算机仿真,2015,32(9):356-359.
[5]Zhu Y.F.,C.H.Dai,and W.R.Chen,Seeker Optimization Algorithm for Several Practical Applications.International Journal of Computational Intelligence Systems,2014.7(2):.353-359.
[6]牛芗洁,王玉洁,唐剑.基于遗传算法的PID控制器参数优化研究[J].计算机仿真,2010-11:180-182,230.
[7]李渊.智能PID控制器优化仿真研究[J].计算机仿真,2012-12:180-183.
[8]余胜威,曹中清.基于人群搜索算法的PID控制器参数优化[J].计算机仿真,2014-9:347-350,373.
[9]陈黎卿,胡冬宝,陈无畏.基于人群搜索算法的四驱汽车扭矩分配控制策略[J].农业机械学报,2015-11:369-376.
[10]Su,Hongsheng,Yang Jue.Capacitors Optimization Placement in Distribution Systems Based on Improved Seeker Optimization Algorithm[J].Sensors&Transducers,2013,1558.
[11]余胜威,曹中清.基于人群搜索算法的PID控制器参数优化[J].计算机仿真,2014,(9):347-350,373.
[12]邹伯敏.自动控制理论[M].北京:机械工业出版社,2007-6.
[13]杜立新.实时SOA中的服务调度关键问题研究[D].山东大学,2012.
[14]K.B.Maji,et al.Butterworth filter design using seeker optimization algorithm[C].in Science and Technology(TICST),2015,International Conference on,2015.