Permanent Magnet Synchronous Motor Finite Time Parameter Identification And Fractional Sliding Mode Speed Tracking Control

With the rapid development of science and technology,permanent magnet synchronous motors(PMSM)have been widely used in many engineering applications due to their advantages,such as high operating stability,small volume and mass,strong availability,low power,etc.And so on,especially in aerospace engineering,pharmaceutical equipment,even every corner of public add large affect on it。 With the quick advance and expand of control method and control knowledge,for come cross the demands of the pubulic in daylife,permanent magnet synchronous motors with better performance are often needed to solve problems in engineering applications,and an accurate mathematical model often the result of the control system,so it is good to model the PMSM accurately to obtain good control p.However,due to the reason of external disturbance and internal parameter perturbation,the good of PMSM is lower,which makes the hold on of model more complex.This further makes the design of system control is on model more difficult,which results to the worse of system stable,the uncertainty of PMSM control system parameters,and reduces the anti-interference ability of the system The disturbance performance reduces the tracking accuracy of quick freezing.The performance of the motor cannot be used.In this paper,methods such as synchronous control and parameter identification based on finite time theory and fractional sliding mode control based on neural network are used to study the parameter identification and spc.of PMSM.The work of the thesis is as follows:(1)In view of the fact that PMSM motor parameters are sensitive to ambient temperature fluctuations during work and are easily influence by the good PMSM circuit,the balance of the motor is lower,and the robust finite-time the ame time control and parameter identification of the permanent magnet synchronous motor system are speaked.Added the finite-time balance and adaptive control speak,by controlling the bent appear of the PMSM,and introducing updated tuning parameters in the terminal attractor,robust adaptive finite-time synchronization can be achieved in a shorter time,and in a relatively short period of time.Effectively identify uncertain parameters in a short finite time.Finally,through MATLAB and Smiulink numerical simulation to verify the derived PMSM the same time control method based on the limited time theory,which shows the feasibility of the strategy and provides guarantee for the PMSM speed control in the following.(2)In view of the fact that the PMSM drive system is easily affected by time-varying parameters and external interference。First,combine the fractional order system to construct a fractional sliding mode surface.Then,because improve the good and balance of the system,the excellent function is used as the sliding mode face go function to low the influence of system not good;the RBF is used to approximate the interference of the external interference.Combining the estimation of the external approximation disturbance with the fractional-order sliding mode controller,and finally,through simulation verification and comparison,it can be seen that the control effect and stability of the method combining the approximation disturbance of the RBF and the fractional-order sliding mode control method are better than that of a single,which shows that the method can suppress interference good,enhance the good track of the device,and has good control fuction.Through the research of the above-mentioned control theory and strategy,this subject provides an effective way to solve the problems of PMSM speed regulation and control.