GA-based fuzzy sliding mode governor for hydro-turbine

This paper presents a novel approach for speed governing of hydro-turbine by means of a sliding mode controller. For selecting a group of parameters of the sliding surface, genetic algorithm is employed to search these parameters. For decreasing the chattering problem of the sliding mode controller, a fuzzy interface system is harnessed to regulate the controller gain. To verify the feasibility and robustness of the control method, simulation results from a hydro turbine unit with the controller designed by the presented procedure are given as an illustration.

[1]  L. Wozniak,et al.  Adaptive speed control of hydrogenerators by recursive least squares identification algorithm , 1995 .

[2]  J. Erschler,et al.  Automation of a hydroelectric power station using variable-structure control systems , 1974, Autom..

[3]  L. Clotea,et al.  Controlling variable load stand-alone hydrogenerators , 2005, 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005..

[4]  L. Wozniak,et al.  Adaptive hydrogenerator governor tuning with a genetic algorithm , 1992 .

[5]  Vadim I. Utkin,et al.  Sliding Modes in Control and Optimization , 1992, Communications and Control Engineering Series.

[6]  Daijian Ling Fuzzy Model Reference Learning Control for a Nonlinear Model of Hydrogenerator Unit , 2009, 2009 International Workshop on Intelligent Systems and Applications.

[7]  Honghua Wang,et al.  A study on fault diagnosis of hydroelectric generator based on D-S evidence theory , 2008, 2008 International Conference on Electrical Machines and Systems.

[8]  Xiaohui Yuan,et al.  Research on Hydroelectric Generating Unit Controller Based on Fuzzy Neural Network , 2006, 2006 6th World Congress on Intelligent Control and Automation.

[9]  Jiandong Yang,et al.  PID neural network decoupling control for doubly fed hydro-generator system , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[10]  Shen Zu-yi,et al.  Nonlinear control for hydro turbine generator unit with time-varying parameters via state feedback linearization , 2004, ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004..

[11]  L. Wozniak,et al.  A state-space pressure and speed sensing governor for hydrogenerators , 1991 .

[12]  Jianming Zhang,et al.  A modified neuron model-free controller with PID turning gain for hydroelectric generating units , 2002, Proceedings. International Conference on Machine Learning and Cybernetics.

[13]  Shengwei Mei,et al.  Nonlinear co-ordinated control of excitation and governor for hydraulic power plants , 2005 .

[14]  L. Wozniak A graphical approach to hydrogenerator governor tuning , 1990 .

[15]  I. Kuzle,et al.  Nonlinear digital simulation model of hydroelectric power unit with Kaplan turbine , 2006, IEEE Transactions on Energy Conversion.

[16]  Nand Kishor,et al.  LQG / LTR controller for speed governing of hydro-turbine , 2004, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).

[17]  Zhan Xu,et al.  Robust analysis and design of load frequency controller for power systems , 2008, 2008 IEEE International Conference on Control Applications.

[18]  Zhi-Huai Xiao,et al.  Application of GA-FNN hybrid control system for hydroelectric generating units , 2005, 2005 International Conference on Machine Learning and Cybernetics.

[19]  Jin Jiang Design of an optimal robust governor for hydraulic turbine generating units , 1995 .

[20]  Long Chen,et al.  Basic Modeling and Simulation Tool for Analysis of Hydraulic Transients in Hydroelectric Power Plants , 2008, IEEE Transactions on Energy Conversion.

[21]  Dobrila Škatarić,et al.  Suboptimal design of hydroturbine governors , 1991 .

[22]  Sa'ad P. Mansoor,et al.  Predictive feedforward control for a hydroelectric plant , 2004, IEEE Transactions on Control Systems Technology.