Research On Loss Minimum Control Of Permanent Magnet Synchronous Motor

Permanent magnet synchronous motor(PMSM)is widely used in industry,new energy vehicles,aerospace engineering and other fields because of its simple structure,small size and high power density.Efficiency is an important index to measure the performance of motor control system,which can be improved by motor design technology and control technology.The loss minimization control(LMC)based on the loss model is a control strategy for maximizing the total efficiency,which applies to dynamic situations.However,the electromagnetic parameters of the motor will change with the operating conditions,resulting in the mismatch between the designed controller parameters and the actual parameters,which affects the efficient performance of the motor control.Therefore,improving the motor control algorithm to track motor parameters is the key to improve the control performance of the strategy.This paper focuses on the loss minimization control strategy of permanent magnet synchronous motor based on core loss resistance.Firstly,the loss mechanism of PMSM is analyzed.Considering the core loss,the mathematical model of PMSM in two-phase rotating coordinate system is established.The simulation model is built in Matlab/Simulink environment.Secondly,the expression of stator d-axis current in the case of minimum loss is derived.To deal with the shortcoming that the traditional algorithm does not consider the variation of motor parameters with operating conditions,a double Kalman filter is designed to observe and identify the current component,resistance,inductance,flux and other parameters that affect the motor loss in real time.Furthermore,the proposed loss minimization control strategy is verified by simulation.The simulation results show that the improved algorithm can effectively identify the motor parameters and ensure the control performance of minimum loss.In this paper,a permanent magnet synchronous motor control system is designed.The effectiveness of the proposed algorithm is further verified by comparing with the traditional algorithm.The experimental results show that the loss minimization control method based on double Kalman filter has good dynamic performance,which can effectively reduce the loss in the process of motor operation under ensuring the torque output.The efficiency can be improved by up to 2%compared with the traditional control strategy.