Study Of Advanced Control Strategy Of Pitch System For Wind

Now with energy resources being consumed increasingly and environment being polluted seriously gradually, the development and utilization of renewable energy have attracted a world wide attention. And in which, wind is the world’s most potential of new energy, which is an inexhaustible source of renewable energy. If the wind energy can be effectively developed and utilizated, we can protect earth’s environment, reduce the consumption of the earth’s resources.In the process of deveopment and utilization of wind energy,many large-scale wind turbines use a variable speed pitch control mechanism,the control unit can increase the body’s energy capture,improve power quality and flexible,improve conversion efficiency and extend the use of life.Performance of the pitch system determines the quality of safety and service life.So this study of the paper is the wind pitch control system.Due to time-varying of the wind turbine parameters and the system of nonlinear,so that it is easy to make the output power overshoot and oscillation relatively large,lead to the unstable of output.Theerfore,it has a very important significance for development and utilization of wind energy to study advanced pitch control strategy.This paper establishs a mathematical model of wind turbine, designs a PID controller of pitch system, experiments show that the traditional control method in the pitch control is difficult to obtain ideal control effect. Therefore, it studies fuzzy PID control method, designs the pitch parameter self-tuning controller, simulations show that this control method can achieve better control effect. Based on the fuzzy PID controller, a new method of pitch control is proposed that is fuzzy feed-forward and fuzzy PID. Fuzzy feed-forward controller can accord to the aerodynamic characteristics, the proper pitch angle are given to achieve rapid compensation and improve system responsiveness at rated wind speed and high wind speed. Simulation results show that this method can effectively reduce the system overshoot, shorten the adjustment time, and achieve satisfactory control performance.