Optimal tracking and robust intelligent based PI power controller of the wind turbine systems

This paper mainly focuses on the optimal tracking and robust intelligent controller for a wind turbine systems. In order to guarantee the wind power capture optimization without any chattering problems, this study propose to combine the sliding mode control (SMC), proportional integral (PI) control and particle swarm optimization (PSO) algorithm. In order to provide an optimal PI and SMC gains, particle swarm optimization (PSO) evolutionary algorithm is used. The stability of the system using this controller is analyzed by Lyapunov theory. The simulation results of the proposed method (PI-SMC) are compared with the integral sliding mode control (ISMC) and the conventional SMC. The comparison results reveal that the proposed controller is more effective in reducing the tracking error and chattering. In addition, the controller shows more robustness against uncertainties and faster transient response of the system with reduced steady state error.

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