Parameter Optimization for Turbine DEH Control System Based on Improved Genetic Algorithm

被引：4
|
作者：
Li, Na [1 ]
Lv, Lixia [1 ]
机构：
[1] N China Elect Power Univ, Baoding 071003, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Genetic Algorithm; Digital Electrical Hydraulic (DEH) control system; parameter optimization;
D O I：
10.1109/CCDC.2010.5498598
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Improved Genetic Algorithm is used for parameter optimization of turbine DEH governing system. The algorithm can avoid the premature convergence effectively and improve the global and local search ability. The optimization results show that such method has the advantages of fast computation, high precision, and better program generality. It provides a new way for parameter optimization of steam turbine governing system.
引用
收藏
页码：3326 / 3328
页数：3
相关论文
共 50 条
  • [1] An Improved Chaos Genetic Algorithm and its Application in Parameter Optimization for Robot Control System
    Chen Naijian
    Wang Sun'an
    Di Hongyu
    Yuan Mingxin
    [J]. ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 1931 - 1936
  • [2] Research on Modeling and Control Strategy of Hydraulic Turbine Governing System Based on Improved Genetic Algorithm
    Jiang, Xiaoping
    Chen, Xiaofei
    Wang, Zhengwei
    [J]. 30TH IAHR SYMPOSIUM ON HYDRAULIC MACHINERY AND SYSTEMS (IAHR 2020), 2021, 774
  • [3] PID Control Strategy for UAV Flight Control System based on Improved Genetic Algorithm Optimization
    Lin, Feng
    Duan, Haidong
    Qu, Xiaoguang
    [J]. 26TH CHINESE CONTROL AND DECISION CONFERENCE (2014 CCDC), 2014, : 92 - 97
  • [4] Application of Improved Particle Swarm Optimization Algorithm in Parameter Identification of Pitch Wind Turbine System
    Zhou, Huanhui
    Zhang, Hao
    [J]. 2019 5TH INTERNATIONAL CONFERENCE ON ENERGY MATERIALS AND ENVIRONMENT ENGINEERING, 2019, 295
  • [5] Parameter Optimization of Coordinated Control System Based on Intelligent Algorithm
    Xu, Zhibin
    Xiao, Li
    Ouyang, Chunming
    Zhang, Weidong
    [J]. 2018 INTERNATIONAL SEMINAR ON COMPUTER SCIENCE AND ENGINEERING TECHNOLOGY (SCSET 2018), 2019, 1176
  • [6] Optimization of industrial process parameter control using improved genetic algorithm for industrial robot
    Yao, Cenglin
    Li, Yongzhou
    Ansari, Mohd Dilshad
    Talab, Mohammed Ahmed
    Verma, Amit
    [J]. Paladyn, 2022, 13 (01): : 67 - 75
  • [7] Parameter optimization of hybrid fuel cell system based on genetic algorithm
    Lai Lianfeng
    Chang Ting-Cheng
    [J]. PROCEEDINGS OF 2019 IEEE EURASIA CONFERENCE ON BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY (IEEE ECBIOS 2019), 2019, : 102 - 104
  • [8] Parameter Optimization and Control Strategy of Hybrid Electric Vehicle Transmission System based on Improved GA Algorithm
    Luo, Daobao
    Ji, Wujun
    Hu, Xin
    [J]. PROCESSES, 2023, 11 (05)
  • [9] The Optimization Design of Wind Turbine Gearbox Based on Improved Genetic Algorithm and Feasibility Analysis
    Tian, Jiming
    Tan, Xin
    [J]. ENGINEERING SOLUTIONS FOR MANUFACTURING PROCESSES IV, PTS 1 AND 2, 2014, 889-890 : 107 - +
  • [10] The application of immune genetic algorithm in PID parameter optimization for level control system
    Li, Chengwei
    Lian, Jiandong
    [J]. 2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 782 - 786
12345