Research On Switched Reluctance Motor Control System For Air Purifier

Switched Reluctance Motor(SRM),which has a simple structure,high reliability,low cost,and the advantages of wide range of speed regulation,can be widely used in fans,pumps,compressor,automobile drive motors,etc.A class of products.Generally speaking,the opera-tion of SRM depends on reliable and accurate rotor position information.The introduction of position sensor,on the one hand,will reduce the reliability of the system,on the other hand,will increase the cost,so the sensorless technology is an important research direction of SRM.This paper takes air purifier as an example and takes three-phase 6/4-pole SRM as the research object,studies and optimizes the simplified flux linkage method in the current sensorless control technology of SRM,and proposes a new improved control method,the development of 50 W SRM drive and the design of control algorithm.Firstly,this paper describes the current situation of SRM development and control system research,introduces the basic structure and mathematical model of SRM,takes three-phase 6/4 pole SRM as an example,introduces the operation principle of SRM in detail,and analyzes its mathematical model in theory.Secondly,several common control methods of SRM are introduced,and the specific application scenarios of different control methods are analyzed.After that,the theory of SRM sensorless control based on flux estimation method is explained in detail.In view of the problem of flux estimation error caused by the change of resistance in general simplified flux estimation method when the motor is running,a method of dynamic resistance estimation is proposed.The phase resistance is corrected in real time when the motor is running,so as to effectively solve the problem of flux estimation error and realize accurate commutation of SRM.Finally,based on a 50 W,three-phase 6/4-pole SRM,the power supply circuit,driving circuit,power converter,detection circuit,STM32F103C8T6 Single-Chip Microcomputer core control circuit are designed,and the component selection,welding and debugging of PCB are completed.With keil u Vision 5 as the development tool,the control system software is compiled.Through the software debugging of the experimental motor,the feasibility of the improved simplified flux method and the reliability of the whole control system are verified.The experimental results show that the simplified flux method combined with the dynamic resistance estimation can accurately estimate the flux value of the motor during commutation,so as to accurately obtain the rotor position information and realize the smooth operation of the motor sensorless control.