Nonlinear dynamic analysis and robust controller design for Francis hydraulic turbine regulating system with a straight-tube surge tank

被引:87
作者
Liang, Ji [1 ]
Yuan, Xiaohui [1 ]
Yuan, Yanbin [2 ]
Chen, Zhihuan [1 ]
Li, Yuanzheng [3 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Hydropower & Informat Engn, Wuhan 430074, Peoples R China
[2] Wuhan Univ Technol, Sch Resource & Environm Engn, Wuhan 430070, Peoples R China
[3] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 400044, Peoples R China
基金
中国国家自然科学基金;
关键词
Hydraulic turbine regulating system; Straight-tube surge tank; Nonlinear dynamic analysis; Sliding mode control; Fuzzy logic control; SLIDING MODE CONTROL; GRAVITATIONAL SEARCH ALGORITHM; FEEDBACK LINEARIZATION METHOD; UNIT COMMITMENT PROBLEM; HYDRO-TURBINE; GOVERNING SYSTEM; WIND POWER; OPTIMIZATION ALGORITHM; STABILITY ANALYSIS; GENETIC ALGORITHM;
D O I
10.1016/j.ymssp.2016.09.026
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The safety and stability of hydraulic turbine regulating system (HTRS) in hydropower plants become increasingly important since the rapid development and the broad application of hydro energy technology. In this paper, a novel mathematical model of Francis hydraulic turbine regulating system with a straight-tube surge tank based on a few state-space equations is introduced to study the dynamic behaviors of the HTRS system, where the existence of possible unstable oscillations of this model is studied extensively and presented in the forms of the bifurcation diagram, time waveform plot, phase trajectories, and power spectrum. To eliminate these undesirable behaviors, a specified fuzzy sliding mode controller is designed. In this hybrid controller, the sliding mode control law makes full use of the proposed model to guarantee the robust control in the presence of system uncertainties, while the fuzzy system is applied to approximate the proper gains of the switching control in sliding mode technique to reduce the chattering effect, and particle swarm optimization is developed to search the optimal gains of the controller. Numerical simulations are presented to verify the effectiveness of the designed controller, and the results show that the performances of the nonlinear HTRS system assisted with the proposed controller is much better than that with the commonly used optimal PID controller.
引用
收藏
页码:927 / 946
页数:20
相关论文
共 48 条
  • [41] Design of fuzzy sliding mode controller for hydraulic turbine regulating system via input state feedback linearization method
    Yuan, Xiaohui
    Chen, Zhihuan
    Yuan, Yanbin
    Huang, Yuehua
    [J]. ENERGY, 2015, 93 : 173 - 187
  • [42] Sliding mode controller of hydraulic generator regulating system based on the input/output feedback linearization method
    Yuan, Xiaohui
    Chen, Zhihuan
    Yuan, Yanbin
    Huang, Yuehua
    Li, Xianshan
    Li, Wenwu
    [J]. MATHEMATICS AND COMPUTERS IN SIMULATION, 2016, 119 : 18 - 34
  • [43] Short-term wind power prediction based on LSSVM-GSA model
    Yuan, Xiaohui
    Chen, Chen
    Yuan, Yanbin
    Huang, Yuehua
    Tan, Qingxiong
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 101 : 393 - 401
  • [44] An efficient chaos embedded hybrid approach for hydro-thermal unit commitment problem
    Yuan, Xiaohui
    Ji, Bin
    Yuan, Yanbin
    Ikram, Rana M.
    Zhang, Xiaopan
    Huang, Yuehua
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2015, 91 : 225 - 237
  • [45] A new approach for unit commitment problem via binary gravitational search algorithm
    Yuan, Xiaohui
    Jia, Bin
    Zhang, Shuangquan
    Tian, Hao
    Hou, Yanhong
    [J]. APPLIED SOFT COMPUTING, 2014, 22 : 249 - 260
  • [46] An improved artificial physical optimization algorithm for dynamic dispatch of generators with valve-point effects and wind power
    Yuan, Xiaohui
    Ji, Bin
    Zhang, Shuangquan
    Tian, Hao
    Chen, Zhihuan
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2014, 82 : 92 - 105
  • [47] Nonlinear hydro turbine model having a surge tank
    Zeng, Yun
    Guo, Yakun
    Zhang, Lixiang
    Xu, Tianmao
    Dong, Hongkui
    [J]. MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS, 2013, 19 (01) : 12 - 28
  • [48] New Elastic Model of Pipe Flow for Stability Analysis of the Governor-Turbine-Hydraulic System
    Zhou, Jianxu
    Cai, Fulin
    Wang, Yuan
    [J]. JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 2011, 137 (10): : 1238 - 1247