INSTRUMENTAL ENVIRONMENT FOR HYDRO GENERATOR NONLINEAR MODELING AND MULTIPLE-MODEL ADAPTIVE CONTROL

被引:0
|
作者
Ruzhekov, Georgi [1 ]
Puleva, Teofana [1 ]
机构
[1] Tech Univ Sofia, Dept Syst & Control Engn, Sofia, Bulgaria
关键词
hydro turbine; nonlinear modelling; multiple-model adaptive control implementation; PLC; SCADA system;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
An advanced hybrid instrumental environment for hydro generator nonlinear modeling and control is presented in this paper. It consists of a SIMULINK nonlinear plant model and a programmable logical controller (PLC) with proper data acquisition hardware. A multiple-model adaptive control strategy is applied to achieve the desired behavior for control systems with complex nonlinear dynamics. The plant control is determined as a weighted sum of the output signals of particular controllers designed on the predictive error for each models. The multiple-model adaptive control strategy is implemented in software environment of VIPA 313SC controller. A proper SCADA system is developed. The pseudo-parallel control law is designed and applied on the SIMULINK built nonlinear plant model. Laboratory simulations with varying load conditions closed to the practice are carried out in order to explore the system performance.
引用
收藏
页码:383 / 386
页数:4
相关论文
共 50 条
  • [1] Multiple-model adaptive control of hydro turbine generator with fuzzy TS models
    Ichtev, Alexander
    Puleva, Teofana
    [J]. PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: ADVANCED TOPICS ON FUZZY SYSTEMS, 2008, : 67 - 72
  • [2] Adaptive Multiple-Model Control of A Class of Nonlinear Systems
    Yang, Chao
    Jia, Yingmin
    [J]. JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE, 2015, 2 (02): : 69 - 72
  • [3] Adaptive Multiple-Model Control of A Class of Nonlinear Systems
    Yang, Chao
    Jia, Yingmin
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB2015), 2015, : 245 - 248
  • [4] Multiple-model adaptive explicit predictive control for nonlinear MIMO system
    Dutta, Lakshmi
    Das, Dushmanta Kumar
    [J]. JOURNAL OF CONTROL AND DECISION, 2024,
  • [5] Adaptive Multiple-model control of a class of nonlinear system using soft computing
    Ke, Hai-sen
    Zheng, Cai-juan
    Yang, Wei-qi
    [J]. 2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS, 2009, : 35 - +
  • [6] Multiple-model adaptive control for interval plants
    Tamer Ahmed Nasr
    Hossam A. Abdel Fattah
    Adel A. R. Hanafy
    [J]. International Journal of Control, Automation and Systems, 2012, 10 : 11 - 19
  • [7] A MULTIPLE-MODEL APPROACH FOR SYNCHRONOUS GENERATOR NONLINEAR SYSTEM IDENTIFICATION
    Ahmadi, Seyed Salman
    Karrari, Mehdi
    [J]. JOURNAL OF ELECTRICAL ENGINEERING-ELEKTROTECHNICKY CASOPIS, 2012, 63 (04): : 249 - 254
  • [8] Direct Adaptive Multiple-Model Control Schemes
    Tan, Chang
    Tao, Gang
    Qi, Ruiyun
    [J]. 2013 AMERICAN CONTROL CONFERENCE (ACC), 2013, : 4933 - 4938
  • [9] Multiple-Model Adaptive Control for Interval Plants
    Nasr, Tamer Ahmed
    Fattah, Hossam A. Abdel
    Hanafy, Adel A. R.
    [J]. INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2012, 10 (01) : 11 - 19
  • [10] Nonlinear disturbance observer based multiple-model adaptive explicit model predictive control for nonlinear MIMO system
    Dutta, Lakshmi
    Kumar Das, Dushmanta
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (11) : 5934 - 5955