| Wind power system is a multi-variable,strong coupling,uncertain strong nonlinear system.In wind power system,permanent magnet synchronous wind turbine(PMSG)has been widely used for its advantages of simple structure and reliable operation.However,PMSG is also affected by uncertain factors such as motor parameter change,load disturbance and saturation.There are many deficiencies in traditional control methods,which need to be considered in controller design.In this paper,PMSG is taken as the research object,and different compound control strategies are used to conduct in-depth research on the uncertain factors,so as to achieve good dynamic and static performance of the control system.The research content of this paper is as follows:1)Input saturated PMSG finite time sliding mode control.Traditional PMSG control has problems such as low control precision and poor antiinterference performance,and the rapid change of wind speed will cause large control input,resulting in saturation constraint and instability of the system.To solve the above problems,a finite time sliding mode controller(FT-SMC)was designed for input-saturated PMSG based on input/output feedback linearization(IOFL)method,combined with finite time(FT)theory and sliding mode control(SMC).Firstly,IOFL was introduced to improve the control accuracy of the system,and FT-SMC was designed to enhance the robustness of the system.Then,an anti-saturation compensator(ATC)is introduced into FT-SMC to solve the control stability problem caused by input saturation.In addition,Lyapunov stability theory is used to analyze the stability of the closed-loop system to ensure that the system can achieve fast tracking and stable operation in a finite time.Finally,the effectiveness of the designed controller and the tracking performance of the system speed are further verified on the Matlab/Simulink simulation experiment and the semi-physical simulation platform.The experimental results show that the FT-SMC has the advantages of high control precision,fast response speed and strong anti-interference ability.2)Considering interference and saturation of PMSG fast sliding mode tracking control.In order to solve the problem of parameter perturbation and load torque interference in PMSG,the parameter perturbation and load torque interference were dealt with respectively by combining the characteristics of feedback linearization.Firstly,the resistance estimator was designed by using the model adaptive method,and then the feedback linearization was performed on PMSG.The finite time fast integral sliding mode control was designed to solve the load torque interference in determining the upper bound.Then,the neural network approximation and the hyperbolic tangent function are used to solve the load torque interference and saturation problem of uncertain upper bound to ensure that the system can track in fixed time.Finally,the effectiveness of the controller is further verified by Matlab simulation experiment.The simulation proves that the designed controller has the advantages of small buffeting and strong anti-interference performance. |