Research Of PMSM Control Strategy Baesd On Parameter Identification

With the development of control technology,the great demand of the market and the improvement of the performance of permanent magnet materials,the permanent magnet synchronous motor is increasingly being used in many fields such as aerospace,industrial production,wind power and so on.The optimized control strategy makes the permanent magnet synchronous motor much effectively.The vector control is currently the most widely used about control strategy of the permanent magnet synchronous motor.However,based on the accurate mathematical model,the vector control system is designed depended on the accurate parameters of motor.The deviation of some motor parameters may result in the deterioration of the control accuracy so that the system is unstable.Therefore,it is necessary to obtain the accurate motor parameters.The control system of the permanent magnet synchronous motor and its parameter identification technology are studied in this paper.Firstly,introducing the history of the development of permanent magnet synchronous motor,the basic principle of control strategy,the internal structure of the motor,coordinate transformation,mathematical model and space voltage vector modulation technology.Secondly,the online parameter identification algorithm based on model reference adaptive system is introduced.The identification of the resistance and the magnetic flux are carried out by online.The identification results are further applied to the load torque observer to improve the robustness of the load torque observer.Thirdly,the speed sensorless control strategy is applied to deal with the problems of the disadvantages of the mechanical sensor.The backstepping control is further applied in the speed controller of the speed sensorless control system.And the half a backstepping control strategy is applied to improve the system control performance.Finally,the corresponding control model is designed in the Matlab/Simulink platform.The parameter identification algorithm and improvement of proposed strategy are verified by simulation.The proposed method can be easily realized and has good performance.