Research On Parameter Identification And Control Algorithm Of Synchronous Reluctance Motor

With the development of social economy,energy shortages and environmental problems are becoming more and more serious,and electric vehicles are increasingly valued as clean and efficient vehicles.Today,with the rapid growth of electric vehicles,how to improve the safety and efficiency of electric vehicles is particularly important.As the control core of electric vehicles,Synchronous Reluctance Motor(SynRM)shows obvious advantages compared to other motors due to its unique rotor structure.Therefore,in recent years,more and more attention has been paid to the research of vector control of synchronous reluctance motors.However,accurate motor parameters are the preconditions for achieving high-precision control performance.Due to the different magnetic paths of d and q axes,the influence of d and q axis on the main magnetic circuit saturation and cross saturation changes greatly in the actual operation and control.For example,the linearization of the inductor will inevitably affect.Transient response performance to the motor and steady state control accuracy.In addition,to realize the vector control of the synchronous reluctance motor,it is equally important to accurately detect the position of the rotor.If high-precision mechanical sensors are installed,it will not only increase the cost of the system,but also have higher requirements on the use environment,and Low operational reliability.To this end,this paper focuses on the identification of inductance parameters and position estimation of synchronous reluctance motors.The main research work is as follows.Firstly,based on the mathematical model of synchronous reluctance motor,the characteristics and vector control of the synchronous reluctance motor are studied and analyzed.The results show that the inductance saturation characteristics of the synchronous reluctance motor are more obvious,and the synchronous reluctance motor must be overcome parameter sensitivity before the precise vector control.Secondly,the variation of the motor parameters is studied by identifying the variation curve of the motor inductance parameters offline.Aiming at the strong convex polarity of the synchronous reluctance motor,the dual-frequency rotary injection method is proposed on the basis of the rotary injection method to identify the inductance parameters,and then the inductance parameter curve in the whole current range is obtained.Thirdly,aiming at the problems existing in the position identification of synchronous reluctance motor by the rotary injection and pulse injection method,a mixed signal injection scheme is proposed to identify the rotor position,and the position information acquisition of different rotors in the static and low speed state of the synchronous reluctance motor is realized.Fourth,a 5.5KW synchronous reluctance motor experimental platform and MATLAB simulation model were built.The proposed vector control,inductance parameter identification and position identification scheme were simulated and experimentally studied.The results proved the feasibility and effectiveness of the proposed scheme.