| 结合遗传算子的改进粒子群算法在控制系统设计中的应用 |
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| 引用本文： | 张贝克,谢元平,马昕.结合遗传算子的改进粒子群算法在控制系统设计中的应用[J].化工自动化及仪表,2011,38(5):521-524. |
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| 作者姓名： | 张贝克 谢元平 马昕 |
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| 作者单位： | 北京化工大学信息科学与技术学院,北京,100029 |
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| 摘 要： | 针对粒子群优化算法容易陷入局部最优以及早熟等缺点,结合遗传算法的选择交叉变异算子进行改进,得到一种新型PSO算法.将该方法应用于PID控制系统参数调优和被控对象参数辨识,仿真结果显示所提出的算法优化效果优于基本粒子群优化算法和遗传算法,收敛性能也得到较大提高.
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| 关 键 词： | 粒子群优化算法 遗传算法 PID参数优化 参数辨识 |
Application of Modified PSO Algorithm in Control System Design |
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| ZHANG Bei-ke,XIE Yuan-ping,MA Xin.Application of Modified PSO Algorithm in Control System Design[J].Control and Instruments In Chemical Industry,2011,38(5):521-524. |
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| Authors: | ZHANG Bei-ke XIE Yuan-ping MA Xin |
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| Affiliation: | (School of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China) |
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| Abstract: | Considering the difficulty of particle swarm optimization（PSO） in dealing with local optimum and premature,a new modified PSO algorithm which combined with GA operators was presented to optimize parameters of PID control system and to identify controlled object parameters.The results demonstrate that this modified algorithm can outperform both PSO and GA algorithm and can improve PSO convergence properties. |
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| Keywords: | PSO algorithm GA algorithm PID parameter optimization parameter identification |
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