Research On Bearingless Switched Reluctance Motor And Rotor Vibration Control

The switched reluctance motor(SRM),although its mechanical structure is simple but very strong,still can keep good stability even in bad conditions,so people attach great importance to it.The introduction of bearingless technology in SRM can give full play to the merits of SRM.The basic principle of the bearingless switched reluctance motor is to make use of the consistency between the magnetic bearing and the stator structure,so that both the windings and the main windings are entangled in the stator salient to realize the rotor rotation and suspension.Therefore,this paper mainly studies the pole double winding,and analyzes the rotor dynamics through the finite element modeling.The main work and results are as follows:The mathematical model of BSRM is established.Based on the ANSYS software,The coupling relationship between radial forces is concerned in the model.Then the model is validated by the finite element calculation results.ANSYS is used to analyze the BSRM rotor’s modal.The correctness of the rotor’s modal analysis is verified by experiment.The reasons and characteristics of the unbalance of the vibration caused by the rotor centroid offset,the design of adaptive filter based on the minimum force guidelines is researched and the adaptive filter based on the particle swarm optimization(PSO),genetic algorithm(GA)and simulated annealing particle swarm optimization(SAPSO)is respectively used to compensate the radial vibration displacement.Then the advantage and weakness of each algorithm are compared and the performance of the adaptive filter was verified by simulation.The BSRM simulation model is built in Matlab/Simulation and the principles of each module are introduced in the primary and secondary windings.The single neuron adaptive PID controller is adopted in the primary winding speed regulator.The effect of the adaptive filter designed on PSO,GA and SAPSO algorithms reduces BSRM rotor’s radial displacement is compared and the effectiveness of the adaptive filter reduces BSRM rotor’s radial displacement is verified by simulation.