Optimization of PID parameters with an improved simplex PSO

被引：1
|
作者：
Li, Ji-min [1 ]
Liou, Yeong-Cheng [2 ,3 ]
Zhu, Li-jun [1 ]
机构：
[1] Beifang Univ Nationalities, Sch Math & Informat Sci, Yinchuan 750021, Peoples R China
[2] Cheng Shiu Univ, Dept Informat Management, Kaohsiung 833, Taiwan
[3] Kaohsiung Med Univ, Ctr Gen Educ, Kaohsiung 807, Taiwan
来源：
JOURNAL OF INEQUALITIES AND APPLICATIONS | 2015年
基金：
中国国家自然科学基金;
关键词：
simplex particle swarm optimization; '0.618' method; PID automatic; regulation system;
D O I：
10.1186/s13660-015-0785-2
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we adopt the '0.618' method to select the compression factor and expansion factor for the simplex particle swarm optimization algorithm. We use our new method to optimize parameters of a Proportion Integral Differential (PID) controller. The experimental results show that our method can effectively solve the slow convergence problem and give a better performance than the conventional PID method does.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] Application of improved PSO to optimization of hydraulic structure
    Qie, Zhihong
    Hitoshi, Furuta
    Wu, Xinmiao
    Li, Ying
    Li, Songhui
    Wang, Fuzeng
    [J]. CJK-OSM 4: The Fourth China-Japan-Korea Joint Symposium on Optimization of Structural and Mechanical Systems, 2006, : 237 - 242
  • [42] Study on PSO for the optimization of SVR parameters selection
    Xiong Wei-li
    Xu Bao-guo
    [J]. PROCEEDINGS OF THE 2007 CHINESE CONTROL AND DECISION CONFERENCE, 2007, : 447 - +
  • [43] Parameters Optimization of Fuzzy Controller Based on PSO
    Wang, Dongyun
    Wang, Guan
    Hu, Rong
    [J]. 2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2, 2008, : 599 - 603
  • [44] Cutting parameters optimization by using particle swarm optimization (PSO)
    Li, J. G.
    Yao, Y. X.
    Gao, D.
    Liu, C. Q.
    Yuan, Z. J.
    [J]. E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY, 2008, 10-12 : 879 - +
  • [45] Processing parameters optimization based on PSO algorithm
    Wu, Rongzong
    Liu, Qingjian
    Shao, Mingkun
    Wang, Run
    [J]. FUNCTIONAL MANUFACTURING AND MECHANICAL DYNAMICS II, 2012, 141 : 419 - 423
  • [46] An Improved Particle Swarm Optimization (PSO) Optimized Integral Separation PID and Its Application on Central Position Control System
    Jia, Lin
    Zhao, Xinqiu
    [J]. IEEE SENSORS JOURNAL, 2019, 19 (16) : 7064 - 7071
  • [47] Multivariable PID Decoupling Control Method of Electroslag Remelting Process Based on Improved Particle Swarm Optimization (PSO) Algorithm
    Wang, Jie-Sheng
    Ning, Chen-Xu
    Yang, Yang
    [J]. INFORMATION, 2014, 5 (01) : 120 - 133
  • [48] Comparison of PSO algorithm and its variants to optimal parameters of PID controller
    Fang, Hongqing
    Chen, Long
    Wang, Wancheng
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 3100 - 3104
  • [49] Optimization Design Based on Improved Ant Colony Algorithm for PID Parameters of BP Neural Network
    Zhao, Yan
    Xiao, Zhongjun
    Kang, Jiayu
    [J]. 2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 3, 2010, : 5 - 8
  • [50] The Application of Adaptive PSO in PID Parameter Optimization of Unmanned Powered Parafoil
    Wang, Yaping
    Dong, Hairui
    [J]. MODERN TECHNOLOGIES IN MATERIALS, MECHANICS AND INTELLIGENT SYSTEMS, 2014, 1049 : 1094 - 1097
12345