| With the worsening of environment pollution and the extreme shortage of non-renewable energy, wind energy as a clean pollution-free renewable energy attaches great importance by the people. The use of wind power is dependent on the wind turbine, the brushless doubly-fed wind power generator (BDFG) with good quality. However, BDFG is a multi-variable and intensively decoupled high-order system, general control strategy can not meet the control requirements.Sliding Mode Control (SMC) as a kind of discrete nonlinear control method, which has strong robustness, and it industrial realization is simple. SMC have been applied in motor and vehicle control.In this paper, the research work is follows:First of all, for maximum wind power tracking, the adaptive fuzzy sliding mode control is designed based on the method of rotation speed feedback of BDFG. The adaptive fuzzy system approaches the uncertainties of generation system. A nonlinear integrator sliding mode control strategy is proposed to track the speed of wind. Finally, The stability of closed-system is proved using Lyapunov’s method.Secondly, aiming at the chattering problem of SMC for BDFG, a control strategy named as high order sliding control with chattering avoidance is presented, the controller of BDFG is designed based on a high order sliding mode. The results show that compared with traditional sliding mode control, high order sliding control can remove system chattering.Finally, a adaptive sliding mode control for brushless doubly-fed wind power generator is presented, to improve the response speed of the system and the robustness. Based on the Field Oriented vector control principle, nonsingular terminal sliding modes are designed to make the current reach the given values in a finite period of time, and the high-order sliding mode method is adopted to estimate the chattering phenomenon of the conventional sliding mode, designed a high-level non-singular terminal sliding mode controller. Meanwhile, to obtain on-line estimation for the part of nonlinear uncertain of system, a method of fuzzy neural network is presented, design of fuzzy neural network estimator, the control system with adaptive capabilities. The simulation results show that the nonsingular high-order terminal sliding-mode control can estimate the chattering phenomenon and dynamic response of the system. Meanwhile, the system with adaptive capability. |
