The Implementation of PID Using Particle Swarm Optimization Algorithm on Networked Control System

被引：0
|
作者：
Pahlevi, Rizaldy [1 ]
Murti, Muhammad Ary [1 ]
Susanto, Erwin [1 ]
机构：
[1] Telkom Univ, Sch Elect Engn, Bandung 40257, Indonesia
来源：
2014 INTERNATIONAL CONFERENCE ON INDUSTRIAL AUTOMATION, INFORMATION AND COMMUNICATIONS TECHNOLOGY (IAICT) | 2014年
关键词：
PSO; NCS; delay; RIW-PSO; CIW-PSO; LDW-PSO;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose the implementation of PID on Networked Control System (NCS) using Particle Swarm Optimization (PSO) algorithm as tuning method. There are three modification of PSO that used in this paper. The first is Constant Inertia Weight of PSO (CIW-PSO), the second is Linear Difference Weight of PSO (LDW-PSO), and the latest is Random Inertia Weight of PSO (RIW-PSO). In the end, we present discuss the effect of delay on the performance of Networked Control System.
引用
收藏
页码：35 / 38
页数：4
相关论文
共 50 条
  • [1] THE OPTIMAL GNN-PID CONTROL SYSTEM USING PARTICLE SWARM OPTIMIZATION ALGORITHM
    Li, Guo-Dong
    Masuda, Shiro
    Yamaguchi, Daisuke
    Nagai, Masatake
    [J]. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2009, 5 (10B): : 3457 - 3469
  • [2] ROBUST PID CONTROL SYSTEM DESIGN FOR CHAOTIC SYSTEMS USING PARTICLE SWARM OPTIMIZATION ALGORITHM
    Lin, Chih-Min
    Lin, Ming-Hung
    Chen, Chiu-Hsiung
    Yeung, Daneil S.
    [J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6, 2009, : 3294 - +
  • [3] PID Control of DC motor using Particle swarm Optimization (PSO) Algorithm
    Moghaddas, Mahbubeh
    Dastranj, Mohamadreza
    Changizi, Nemat
    Rouhani, Modjtaba
    [J]. JOURNAL OF MATHEMATICS AND COMPUTER SCIENCE-JMCS, 2010, 1 (04): : 386 - 391
  • [4] Control Technology for Overhead Crane System Based on Particle Swarm Algorithm Optimization PID Control
    Wang, Jie
    Qiang, Baomin
    Du, Wenzheng
    He, Zhenxin
    Dong, Siqi
    Guan, Biao
    [J]. ADVANCES IN MATERIALS, MACHINERY, ELECTRONICS III, 2019, 2073
  • [5] OPTIMAL PID CONTROLLER DESIGN FOR AVR SYSTEM USING PARTICLE SWARM OPTIMIZATION ALGORITHM
    Rahimian, MohammadSadegh
    Raahemifar, Kaamran
    [J]. 2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2011, : 337 - 340
  • [6] Using Particle Swarm Optimization for PID Optimization for Altitude Control on a Quadrotor
    Connor, Jack
    Seyedmahmoudian, Mehdi
    Horan, Ben
    [J]. 2017 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2017,
  • [7] An Improved Particle Swarm Optimization Algorithm Based on Fuzzy PID Control
    Wang, Zhengsong
    Wang, Qingkai
    He, Dakuo
    Liu, Qing
    Zhu, Xu
    Guo, Jiaqing
    [J]. 2017 4TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE), 2017, : 835 - 839
  • [8] PID control for chaotic synchronization using particle swarm optimization
    Chang, Wei-Der
    [J]. CHAOS SOLITONS & FRACTALS, 2009, 39 (02) : 910 - 917
  • [9] Nonlinear PID Controller Parameters Optimization Using Improved Particle Swarm Optimization Algorithm for the CNC System
    Sun, Xianghan
    Liu, Ning
    Shen, Rui
    Wang, Kexin
    Zhao, Zhijie
    Sheng, Xianjun
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [10] Design and Implementation of Wheel Chair Control System Using Particle Swarm Algorithm
    Mousa, G.
    Almaddah, Amr
    Aly, Ayman A.
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2021, 66 (02): : 2005 - 2023
12345