Research On Direct Instantaneous Torque Control Optimization Of Switched Reluctance Electric Vehicles

With the intensification of the world energy crisis and the gradual deterioration of climate problems,people are paying more and more attention to environmentally-friendly and energy-saving electric vehicles.At the same time,the government has also introduced various preferential policies for purchasing electric vehicles to promote the electric vehicle industry.Switched reluctance motors have a series of advantages such as simple and sturdy structure,high operating efficiency,good reliability and large starting torque,which have appeared more and more in electric traction.In this paper,the direct transient torque control system of switched reluctance motor for electric vehicles is optimized.The closed-loop control strategy of switched reluctance motor based on improved auto disturbance rejection controller and a torque sharing function optimization compensation control strategy for switched reluctance motor based on chaotic kinetic molecular theory optimization algorithm are proposed.The main research contents are:(1)Propose a closed-loop control strategy for the speed of switched reluctance motor based on FWA-LSSVM optimized auto disturbance rejection controller.Due to the actual operation of the electric vehicle,the running road conditions are complex and changeable.the switched reluctance motor drive control system is required to have fast dynamic response speed and strong anti-interference ability.Based on this,a closed-loop control strategy for the speed of Switched Reluctance Motor Based on Improved Least Squares Support Vector Machine Optimization ADRC is proposed.Using fireworks algorithm to optimize the kernel parameters and penalty coefficients of least squares support vector machine,the optimal regression model of FWA-LSSVM is obtained.Finally,the model is embedded in the ADRC to optimize and analyze it to enhance system robustness.Finally,the feasibility and superiority of the control strategy are proved by simulation.(2)Propose an optimization compensation control strategy for torque Sharing function of switched reluctance motor based on CKMTOA is proposed.Because the switched reluctance motor will produce large torque ripple in the operation process,which will affect the performance of the electric vehicle,this paper Propose an optimization compensation control strategy for torque Sharing function of switched reluctance motor based on CKMTOA is proposed.The CKMTOA is used to obtain the off-angle,commutation angle and torque compensation value of the switched reluctance motor offline,and online compensation based on reference value of torque Sharing function,so as to reduce the torque ripple value generated by the switched reluctance motor during operation.The simulation results verify the effectiveness and feasibility of the proposed method.(3)Designed a switched reluctance electric vehicle experimental platform.Firstly,the hardware experimental platform of direct transient torque control strategy for switched reluctance electric vehicles is designed with DSP chip as the core controller.Secondly,using ADVISOR software to simulate the switch reluctance electric vehicle,combined with the Matlab simulation platform,a direct instantaneous torque control system for switched reluctance motors for electric vehicles based on GUI simulation platform interface was designed.Using the GUI simulation software platform interface,the control method proposed in this paper can be presented more intuitively.It not only facilitates the understanding of the proposed driving control method,but also can be more intuitively compared with the traditional direct instantaneous torque control method.