Sensorless Control Of High Power Permanent Magnet Synchronous Motor Based On Model Reference Adaptive System

Permanent magnet synchronous motor(PMSM)is commonly used in many fields,such as urban rail transit,aerospace,new energy vehicles and so on.In order to realize the high-performance control of permanent magnet synchronous motor,it is necessary to obtain accurate rotor position information in real time.Usually,a position sensor is installed inside the motor to monitor the rotor position information in real time.At present,mechanical sensors such as Hall sensor,photoelectric encoder and resolver are mostly used.However,the existence of position sensor not only increases the hardware cost and later maintenance cost,but also reduces the reliability of PMSM control system.In order to solve a series of problems caused by position sensor,many scholars at home and abroad have studied the sensorless control technology of permanent magnet synchronous motor.In this paper,the sensorless control technology of high-power permanent magnet synchronous motor and the on-line identification of motor parameters under sensorless control are deeply studied.The following are the main contents of this paper.According to the characteristics of dual frequency calculation of vector control of high-power permanent magnet synchronous motor,the causes of system delay and its influence on rotor position observation are analyzed,and accurate delay compensation is made according to the analysis,which improves the performance of sensorless control of permanent magnet synchronous motor.The sensorless control method of model reference adaptive system based on stator current is studied.The model reference adaptive law with speed as the parameter to be identified is designed by using Popov hyperstability theory.Matlab / Simulink software is used to simulate and verify the correctness of time delay analysis of vector control system for high-power permanent magnet synchronous,and the sensitivity of rotor position estimation accuracy based on stator current model reference adaptive system method to the change of motor parameters is studied.According to the observability judgment theory,the observability of motor parameter identification is analyzed on the basis of sensorless motor control.Based on the position sensorless control of permanent magnet synchronous motor based on model reference adaptive system,due to the lack of rank in multi parameter identification,the forgetting factor recursive least square method is used to identify the q-axis inductance which has a great impact on the accuracy of rotor position estimation.The experiment platform of permanent magnet synchronous motor is used to verify the sensorless control of permanent magnet synchronous motor based on stator current model reference adaptive system and the on-line identification of q-axis inductance based on forgetting factor recursive least square method under sensorless control.The experimental results show that the rotor position estimation based on model reference adaptive system and the on-line identification of q-axis inductance based on forgetting factor recursive least square method under sensorless control have high estimation accuracy.