Human emulating intelligent PID control of hydro-turbine governor

被引:0
|
作者
Cheng, Yuanchu [1 ]
Fu, Chuang [1 ]
Ye, Luqing [1 ]
Cai, Weiyou [1 ]
机构
[1] Huazhong Univ. of Sci. and Technol., Wuhan 430074, China
关键词
Artificial intelligence - Computer simulation - Control system analysis - Governors - Intelligent control;
D O I
暂无
中图分类号
学科分类号
摘要
Based on the principle of human emulating intelligent control, an emulating human intelligent PID strategy for hydro-turbine governing systems is proposed. Using proposed algorithm and rules, a new intelligent controller is implemented easily, which has good real parameters adaptability and fast response and strong robustness because control parameters adjustment and control strategy change is based on measuring control error. The simulation studies and field tests indicate that the human emulating intelligent control can improve the dynamic performance and stability of the hydro-turbine governing systems.
引用
收藏
页码:56 / 59
相关论文
共 50 条
  • [21] Automatic generation control of a small hydro-turbine driven generator
    Tripathy, SC
    Bhardwaj, V
    ENERGY CONVERSION AND MANAGEMENT, 1996, 37 (11) : 1635 - 1645
  • [22] An adaptive hybrid atom search optimization with particle swarm optimization and its application to optimal no-load PID design of hydro-turbine governor
    Zhao, Weiguo
    Shi, Tiancong
    Wang, Liying
    Cao, Qingjiao
    Zhang, Hongfei
    JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2021, 8 (05) : 1204 - 1233
  • [23] Adaptive Backstepping-Based Terminal Sliding Mode Control for Hydro-Turbine Governor Control Design Considering Energy Losses Minimization
    Lin, Yu-Chen
    Chen, Wen-Hui
    Peng, Jian-Zhang
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2019), 2019, : 196 - 201
  • [24] Development Trends and Future Prospects of Hydro-Turbine Control Systems
    Kumari, Rupesh
    Desingu, Karthik
    Chelliah, Thanga Raj
    Sharma, S. V. Appa
    2019 IEEE INDUSTRY APPLICATIONS SOCIETY ANNUAL MEETING, 2019,
  • [25] Performance assessment of an Indalma hydro-turbine
    Erick O. do Nascimento
    Elcilane A. de Freitas
    Erb F. Lins
    Jerson R. P. Vaz
    SN Applied Sciences, 2020, 2
  • [26] Passivity-Based Control for Hydro-Turbine Governing Systems
    Gil-Gonzalez, W.
    Garces, A.
    Escobar-Mejia, A.
    Danilo Montoya, Oscar
    PROCEEDINGS OF THE 2018 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D-LA), 2018,
  • [27] Performance assessment of an Indalma hydro-turbine
    do Nascimento, Erick O.
    de Freitas, Elcilane A.
    Lins, Erb F.
    Vaz, Jerson R. P.
    SN APPLIED SCIENCES, 2020, 2 (12):
  • [28] Application of Model Predictive Control Algorithm on a Hydro Turbine Governor Control
    Beus, Mateo
    Pandzic, Hrvoje
    2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2018,
  • [29] State feedback predictive control for nonlinear hydro-turbine governing system
    Yi, Yapeng
    Zhang, Zhiwang
    Chen, Diyi
    Zhou, Rui
    Patelli, Edoardo
    Tolo, Silvia
    JOURNAL OF VIBRATION AND CONTROL, 2018, 24 (21) : 4945 - 4959
  • [30] Compound fuzzy neural control with application to hydro-turbine governing system
    Cai, WY
    Liu, HF
    Chen, GD
    Yee, PM
    Cao, YS
    2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS, 2002, : 924 - 927