| The pace of switched reluctance motor is very slow in almost100years after it wasinvented, the development of high-power thyristors and put into use, and laid the materialfoundation for the development of switched reluctance motor, more switched reluctancemotor development blazing the vitality. Switched reluctance motor drive system as the newSpeed control system, it has a low cost, high efficiency, simple structure, flexiblecontrollability and excellent speed performance advantages, but also possesses the advantagesof AC speed control system and DC speed control system. Switched reluctance motor hasgradually moved toward the market, the motor has been successfully applied in various fieldsof general industrial, such as textile machinery, electric car drivers and household appliances.Due to the highly nonlinear structure of the switched reluctance motor, adds complexityto the control of the switched reluctance motor. Switched reluctance motor control strategyhas been able to achieve its control, but still need to improve and perfect. PID control is thetraditional control method, but also the longest, most perfect control.PI control is used in thispaper. Because of the nonlinear characteristics of switched reluctance motor, different fromother linear system control of the switched reluctance motor. Fuzzy control as a new type ofintelligent control method has been applied in many fields, have better control of the controlmethod for nonlinear systems. So fuzzy control has also been applied to the paper.In thispaper, the outer ring is the speed ring, and the inner ring is current loop, and automaticallyadjust the angle using double-loop control strategy. Double-loop control of switchedreluctance motor in Matlab/Simulink environment well, and has a stable, efficient, startingmoving fast speed range, speed control accuracy, short response time in the case of load withthese characteristics are similar.Switched reluctance motor control system based on the position detection, it is also theprimary condition for switched reluctance motor has good performance. Present in practicalapplications, generally using a position detector, and the position of the detector is not onlyincreases the volume of the switched reluctance motor and into the body, but also reduces thereliability and robustness of the switched reluctance, the switched reluctance motor advantages can not be fully realized. Switched reluctance motor without position detectiontechnology is used in this paper. The author of the paper through sensorless detectiontechnology, in-depth analysis and research, four kinds of position detecting method thatestimates the angle method to simplify the method of flux, turn-off the simplified flux methodand fuzzy neural network method.The author estimated angle method applied for the firsttime, this method retains the characteristics of a look-up table method, and to overcome thedisadvantage of storage space. Simplify the flux method is more mature and convenient noposition detection method, it is the first time the method used in a the SRM model of Matlab/Simulink software. The author has improved simplified flux hair disadvantage of simplifingthe flux method to create a turn-off the simplified flux method. The author analysised andresearched the existing fuzzy neural network method, through the unique training neuralnetwork training got the fuzzy control rules to bring the own model of magnetic chaincharacteristic. This four sensorless detection method can achieve double-loop control of SRM,and can choose to use depending on the occasion.Finally, this paper used TMS320F2812chip as the control chip, according to the controlstrategy and position detection, software for switched reluctance motor has been design. |
PDF Full Text Request