| High energy conversion efficiency,high reliability,and high comfort are the performance requirements that electric vehicles must meet.Permanent magnet synchronous motor(PMSM)has been increasingly widely used in space limited electric vehicle drive systems due to its advantages such as high efficiency,high power density,small moment of inertia,and strong overload capacity.At present,the PI control algorithm of electric vehicles at base speed tends to be replaced by Sliding mode control(SMC)algorithm.Its strong robustness can meet the requirements of electric vehicles for high precision,high safety,etc.,and enable vehicles to run stably under complex conditions such as starting,accelerating,climbing and downhill.However,the inherent chattering phenomenon in SMC restricts further improvement of control performance,and the motor control system is prone to integral saturation due to internal saturation limitations,leading to overshoot and oscillation problems.In response to this issue,this article proposes a parameter adaptive anti saturation sliding mode strategy,and the main tasks completed are as follows:(1)Based on the coordinate transformation theory,the mathematical model of permanent magnet synchronous motor in dq coordinate system is derived.Several common vector control strategies are compared and studied,and a PMSM double closed-loop control system is constructed.The correctness and reliability of the PMSM mathematical modeling and control system are verified through simulation.(2)A parameter adaptive anti saturation technique is proposed to address system overshoot caused by PMSM saturation.On the basis of the Anti reset Windup method,the proportional and integral compensation are calculated and processed separately to improve control accuracy;Then,the feedback gain before and after amplitude limiting is exponentiated to achieve adaptive adjustment of the feedback gain.On the basis of SMC theory,a parameter adaptive anti saturation Sliding mode control model is built.Simulation results show that compared with PI and SMC control methods,this strategy completely eliminates overshoot,reduces steady-state error,and improves system stability.(3)In order to improve the smooth nonsingular terminal Sliding mode control(SNTSM)chattering phenomenon,eliminate the system overshoot and improve the response rate,this chapter proposes a parameter adaptive anti saturation Sliding mode control strategy based on RED.Firstly,based on the SNTSM control strategy,a robust differential estimator is designed and introduced to obtain real-time system state differentiation,which can effectively improve control tracking accuracy;Then,by combining the exponential approach law with the power approach law,a power exponential hybrid approach law is proposed,which can effectively improve the convergence speed and weaken system chattering;Finally,parameter adaptive anti saturation technology is used to suppress the saturation phenomenon of the speed loop SNTSM,reduce system overshoot,and improve the anti-interference ability of the speed control system.The simulation results show that compared with SMC and SNTSM control strategies,the control system under this strategy has faster response speed,smaller steady-state error,and superior anti-interference performance.(4)To demonstrate the effectiveness of the new strategy,an experimental platform based on TMS320F28379 D DSP was built and debugged to validate the strategy.This article builds PMSM speed control models based on traditional SMC,SNTSM,and anti saturation SNTSM control strategies,and compares the speed,dq axis current,and three-phase current response under two operating conditions: no-load start and sudden load.The experimental results demonstrate that the new control method proposed in this paper completely eliminates overshoot,effectively accelerates response speed,and improves the robustness of the system. |