The Research Of Switched Reluctance Motor Control Based On Matlab And Magnet

New energy electric vehicles with energy conservation and green development as the core are vigorously promoted all over the world,in order to deal with the two major global challenges of environmental pollution and energy crisis.As the "brain" of the driving system of electric vehicle,the motor is one of the important components of the driving system.Among all the motors,Switched Reluctance Motor(SRM)is especially suitable for electric vehicles because of its simple structure,high speed range,strong fault tolerance,high system efficiency and low cost.However,one of the reasons why SRM system can not be widely applied is that it's torque is rippling seriously.In this paper,aiming at this key technical problem,taking the vehicle SRM as the research object,a compound control strategy based on fuzzy optimization control for turn-on and turn-off angles combined with cosine torque distribution function was proposed.Firstly,the structure and working principle of SRM are briefly introduced,traditional nonlinear modeling methods and the three traditional control characteristics of SRM and their application scope are compared.All accurate SRM electromagnetic data are the prerequisites for accurate modeling of SRM.In view of the excellent electromagnetic field analysis ability of Magnet specialized finite element software,the SRM finite element nonlinear model is established by the Magnet software.Then the neural network algorithm is used to train the magnetic fileds results ?(?,i)data of the finite element calculation,in order to obtain the current data i(?,?).And the current data i(?,?)combined with torque data T(?,i)are used to build SRM model.Finally,CCC control model is established.Turn-on and turn-off angles selection have a great influence on SRM torque ripple and noise.Optimizing the turn-on and turn-off angles can effectively reduce motor torque ripple.The fuzzy control is used to optimize the control of turn-on and turn-off angles of the motor in this paper,and the severe problem of the commutation torque ripple of the SRM with the control of the cosine torque distribution function is solved.In addition,the characteristics of the vehicle-mounted SRM simulation model is established by Magnet,while based on the existing test platform for motor characteristics experiments,the simulation results of SRM drive performance are verified.At the same time,vibration and noise experiments are performed on the SRM governor system to analyze the actual effects of vibration and noise under different operating conditions.As a result,the conclusions about these experiments provide a certain reference value for analyzing the comfort of the vehicle-mounted SRD system.