Research And Optimization Of Switched Reluctance Motor Control System

Switched reluctance motor has the advantages of multiple control parameters,good speed regulation performance,wide application fields and durability.However,due to its unique doubly salient structure,the system stability is reduced,resulting in problems such as large torque ripple,low output efficiency and noise.In response to the above issues,this thesis studies the optimization strategies and advanced intelligent control algorithms for the current switched reluctance motor control system.Firstly,the development and research status of switched reluctance motors at home and abroad were analyzed.The advantages and problems of current control strategies were summarized.The basic structure and working principle of switched reluctance motor were elaborated and the mathematical model of switched reluctance motor was introduced in detail.Secondly,based on the traditional low-speed current chopping control strategy,optimization and improvement have been made to address the torque ripple problem and current control effect of the switched reluctance motor control system.The typical current reference value is generally obtained through proportional integration of the speed loop.In this thesis,the total current reference value is combined with the current distribution function to obtain the reference current of each phase.The difference between it and the actual current is used as the input of the fuzzy rule current chopping controller to control the output of PWM.At the same time,through processing the current,angle,torque,magnetic linkage and other data obtained from finite element simulation,this thesis establishes a torque estimation model and torque inverse model based on magnetic common energy,and compensates the assigned current of each phase online to reduce the nonlinear error of the control system and achieve precise control of the current,reducing torque ripple.Thirdly,design optimization was carried out on the hardware platform and a15 KW switched reluctance motor speed control system control platform based on DSP was built.The main DSP control circuits,hardware drive circuits,power supply circuits,current sampling and protection circuits,PT100 temperature measurement circuits were analyzed.In the CCS development environment,this thesis design a state machine control program that defines seven states: Check,Ready,Start,Run,Stop,Fault,and Reset.Expand the driver and application programs of the functional module,improve the switching of control methods under different speed conditions and modify the PID parameters of the speed and current double closed-loop.Combined with the improved low-speed control algorithm,verify the simulation results.Finally,through simulation and experimental platform testing,the experimental results are analyzed and summarized to verify the optimization effect of the improved algorithm in the switched reluctance motor speed control system.