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
  • [1] Optimization of PID parameters with an improved simplex PSO
    Ji-min Li
    Yeong-Cheng Liou
    Li-jun Zhu
    [J]. Journal of Inequalities and Applications, 2015
  • [2] Optimization for Design of PID Controller Based on Improved PSO
    Zhu, Jin
    Kang, Wei
    Zhang, Xiumei
    [J]. ADVANCED MATERIALS SCIENCE AND TECHNOLOGY, PTS 1-2, 2011, 181-182 : 571 - 576
  • [3] APPLICATION OF IMPROVED PSO IN PID PARAMETER OPTIMIZATION OF QUADROTOR
    Liu, Xingwang
    Zhao, Dequn
    Wu, Yanli
    [J]. 2015 12TH INTERNATIONAL COMPUTER CONFERENCE ON WAVELET ACTIVE MEDIA TECHNOLOGY AND INFORMATION PROCESSING (ICCWAMTIP), 2015, : 443 - 447
  • [4] Optimization for Design of PID Controller Based on Improved PSO
    Tao, Xun
    [J]. ICMS2010: PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION ICMS2010, VOL 5: APPLIED MATHEMATICS AND MATHEMATICAL MODELLING, 2010, : 173 - 178
  • [5] Optimization of PID controller parameters using a hybrid PSO algorithm
    Zhang, Xia
    Yang, Yue
    [J]. INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL, 2024, 12 (10) : 3617 - 3627
  • [6] Comparison between PSO and GA for parameters optimization of PID controller
    Ou, Chao
    Lin, Weixing
    [J]. IEEE ICMA 2006: PROCEEDING OF THE 2006 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS 1-3, PROCEEDINGS, 2006, : 2471 - +
  • [7] Study on an Improved Algorithm for Optimization of PID Parameters
    Wu, Shaofei
    [J]. INTERNATIONAL JOURNAL OF ONLINE ENGINEERING, 2016, 12 (02) : 58 - 60
  • [8] Parameter optimization of maglev PID controller based on improved PSO algorithm
    Liu, Dong
    Feng, Quanyuan
    Jiang, Qilong
    [J]. Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University, 2010, 45 (03): : 405 - 410
  • [9] PID Parameters for Tuning and Optimization of a Turbine EngineBased on the Simplex Search Method
    ZHANG Hong
    [J]. International Journal of Plant Engineering and Management, 2009, 14 (04) : 250 - 254
  • [10] An Improved Ant Colony Algorithm for PID Parameters Optimization
    Chen, Yibao
    Guo, Zhong
    Liu, Jiaguang
    [J]. ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL I, PROCEEDINGS, 2009, : 157 - 160
12345