Multi-objective Optimization Design Of Hybrid Excitation Switched Reluctance Motor Based On Finite Element Analysis

Combining the advantages of traditional switched reluctance motors,in order to increase the motor torque,rare earth permanent magnetic materials can be added to the stator of the motor to form a hybrid excitation switched reluctance motor.Due to the nonlinearity of the motor,its internal electromagnetic field is highly non-linearly variable.In addition to the complex boundary conditions of the magnetic field,it is particularly important to select a suitable calculation model and method.The finite element method is undoubtedly an effective means.Therefore,ANSYS software is used for this purpose.Finite element calculations are performed on the electromagnetic field of the switched reluctance motor.Based on the research status of the switched reluctance motor at home and abroad,this thesis describes in detail the structure and working principle of the HESRM.By using the APDL command flow of the finite element software ANSYS,the motor is parameterized,and the torque and other parameters of the motor are introduced by the change of the electromagnetic distribution of the motor analysis.After that,the mathematical model of the optimal design for the HESRM is established,after obtaining results in static and dynamic situations,the running platform for intelligence algorithm is provided by MATLAB,at the same time,APDL in ANSYS is used to perform parameterized modeling,finite element analysis of the HESRM and result feedback to realize the combination of ANSYS and MATLAB.Finally,the HESRM is optimized by quantum evolutionary algorithm.The optimal design of motor is not only to meet the practical feasibility,but also to make the performance of the motor to the best.The multi objective quantum evolution algorithm is used to optimize the HESRM by using the multi objective quantum evolution algorithm.The objective function is the torque and efficiency of the motor.The optimization model of the HESRM is established by using four variables as the rotor pole arc and the permanent magnet size as the optimization variables.The optimized design scheme increases the torque of the motor and improves the efficiency of the motor under the premise of satisfying the constraints.