Optimal PID Controller Design for AVR System

被引：0
|
作者：
Wong, Ching-Chang [1 ]
Li, Shih-An [1 ]
Wang, Hou-Yi [1 ]
机构：
[1] Tamkang Univ, Dept Elect Engn, Tamsui 251, Taiwan
来源：
JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2009年 / 12卷 / 03期
关键词：
PID Controller; Genetic Algorithms; Particle Swarm Optimization; Automatic Voltage Regulator (AVR);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, a real-valued genetic algorithm (RGA) and a particle swarm optimization (PSO) algorithm with a new fitness function method are proposed to design a PID controller for the Automatic Voltage Regulator (AVR) system. The proposed fitness function can let the RGA and PSO algorithm search a high-quality solution effectively and improve the transient response of the controlled system. The proposed algorithms are applied in the PID controller design for the AVR system. Some simulation and comparison results are presented. We can see that the proposed RGA and PSO algorithm with this new fitness function can find a PID control parameter set effectively so that the controlled AVR system has a better control performance.
引用
收藏
页码：259 / 270
页数：12
相关论文
共 50 条
  • [21] Implementation of Fractional Order PID Controller for an AVR System
    Babu, G. Suri
    Dinesh, K.
    2015 INTERNATIONAL CONFERENCE ON ENERGY, POWER AND ENVIRONMENT: TOWARDS SUSTAINABLE GROWTH (ICEPE), 2015,
  • [22] Quantum Gaussian Particle Swarm Optimization Approach for PID Controller Design in AVR System
    Coelho, Leandro dos Santos
    de Meirelles Herrera, Bruno Avila
    2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6, 2008, : 3707 - 3712
  • [23] Optimal PID Controller Design for AVR System Based on Multi-objective Optimization and Multi-attribute Decision Making
    Sun, Yan
    Zhou, Xiaojun
    Huang, Zhaoke
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 592 - 597
  • [24] Optimal Design of PID Controller for AVR in a multi Machine Power System using Modified PSO and Fire Fly Optimization Technique
    Nayak, Niranjan
    Routray, Sangram Keshari
    Pradhan, Soumya
    2015 IEEE POWER, COMMUNICATION AND INFORMATION TECHNOLOGY CONFERENCE (PCITC-2015), 2015, : 768 - 775
  • [25] Optimal Design of a Fuzzy PID Controller for Inverted Pendulum System
    Malik, Sadhna
    Mishra, Sudhansu Kumar
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY COMPUTATIONS IN ENGINEERING SYSTEMS, ICAIECES 2015, 2016, 394 : 1297 - 1307
  • [26] Optimal design of PIDA controller using Firefly algorithm for AVR power system
    Sambariya, D. K.
    Paliwal, D.
    2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 987 - 992
  • [27] Robust and optimal PID controller design
    Ho, MT
    Datta, A
    Keel, LH
    Bhattacharyya, SP
    ROBUST CONTROL DESIGN (ROCODN'97): A PROCEEDINGS VOLUME FROM THE IFAC SYMPOSIUM, 1997, : 55 - 60
  • [28] Fractional Order PID Controller Design for an AVR System Using the Artificial Hummingbird Optimizer Algorithm
    Bouguenna, Elouahab
    Ladaci, Samir
    Lekouaghet, Badis
    Merrouche, Walid
    Benghanem, Mohamed
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025,
  • [29] Combination continuous action reinforcement learning automata & PSO for design of PID controller for AVR system
    Hashemi, F.
    Mohammadi, M.
    International Journal of Engineering, Transactions A: Basics, 2015, 28 (01): : 54 - 61
  • [30] Combination of Continuous Action Reinforcement Learning Automata and PSO to Design a PID Controller for AVR System
    Hashemi, F.
    Mohammadi, M.
    INTERNATIONAL JOURNAL OF ENGINEERING, 2015, 28 (01): : 52 - 59
12345