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

被引:88
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
[1]  
[Anonymous], 2002, Sliding Mode Control in Engineering
[2]  
[Anonymous], 2016, NEURAL COMPUT APPL
[3]   Parameter optimization via cuckoo optimization algorithm of fuzzy controller for energy management of a hybrid power system [J].
Berrazouane, S. ;
Mohammedi, K. .
ENERGY CONVERSION AND MANAGEMENT, 2014, 78 :652-660
[4]   Nonlinear dynamic analysis of fractional order rub-impact rotor system [J].
Cao, Junyi ;
Ma, Chengbin ;
Jiang, Zhuangde ;
Liu, Shuguang .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2011, 16 (03) :1443-1463
[5]   Adaptive fuzzy sliding mode control for electro-hydraulic servo mechanism [J].
Cerman, Otto ;
Husek, Petr .
EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (11) :10269-10277
[6]   Nonlinear dynamical analysis of hydro-turbine governing system with a surge tank [J].
Chen, Diyi ;
Ding, Cong ;
Ma, Xiaoyi ;
Yuan, Pu ;
Ba, Duoduo .
APPLIED MATHEMATICAL MODELLING, 2013, 37 (14-15) :7611-7623
[7]   Modeling, nonlinear dynamical analysis of a novel power system with random wind power and it's control [J].
Chen, Diyi ;
Liu, Si ;
Ma, Xiaoyi .
ENERGY, 2013, 53 :139-146
[8]   Design of a fractional order PID controller for hydraulic turbine regulating system using chaotic non-dominated sorting genetic algorithm II [J].
Chen, Zhihuan ;
Yuan, Xiaohui ;
Ji, Bin ;
Wang, Pengtao ;
Tian, Hao .
ENERGY CONVERSION AND MANAGEMENT, 2014, 84 :390-404
[9]   Analysis of the dynamic response of pump-turbine impellers. Influence of the rotor [J].
Egusquiza, Eduard ;
Valero, Carme ;
Presas, Alex ;
Huang, Xingxing ;
Guardo, Alfredo ;
Seidel, Ulrich .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2016, 68-69 :330-341
[10]   Basic Modeling and simulation tool for analysis of hydraulic transients in hydroelectric power plants [J].
Fang, Hongqing ;
Chen, Long ;
Dlakavu, Nkosinathi ;
Shen, Zuyi .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2008, 23 (03) :834-841