Research On Position Sensorless Control Of Permanent Magnet Synchronous Motor Based On Improved MRAS And ADRC

Permanent Magnet Synchronous Motor(PMSM)has the advantages of high efficiency,high control accuracy and high reliability.In motor control,position sensors are usually used to obtain the PMSM rotor position,but the use of position sensors also makes the motor larger and has too many lead wires,and the mechanical sensor is also susceptible to the surrounding working environment.Therefore,it is more important to find a control method to replace the mechanical sensor to obtain the angular position and speed of the rotor.In this paper,the Model Reference Adaptive System(MRAS)is used to control PMSM without position sensor,and an improved Active Disturbance Rejection Control(ADRC)is applied to the speed ring to realize the high-performance control of PMSM.In order to solve the problem that traditional MRAS observers are sensitive to motor parameter changes,this paper will use an improved MRAS technology to identify motor resistance and speed online.This technology updates the resistance identified online to the rotational speed observer in real time.By simulating and modeling traditional and improved MRAS,it can be verified that the improved MRAS can not only effectively reduce the impact of motor parameter changes on speed,but also improve the identification accuracy of speed.At the same time,the feasibility of the improved MRAS in parameter identification has been verified.Aiming at the problems of difficult coordination and poor anti-interference ability of PI regulators in traditional speed loops,ADRC theory is introduced,and considering the poor robustness of PD control in linear ADRC,sliding mode control is selected instead of PD control,and the improved sliding mode-ADRC controller is applied to the speed outer loop of vector control.The simulation results show that the improved control algorithm combining MRAS and sliding mode ADRC has better dynamic response and anti-interference ability.Build a hardware circuit platform with the main control chip TMS320F28075 as the core,and design hardware circuits and software algorithms.The hardware circuit consists of a three-phase bridge inverter circuit,ADC analog-to-digital conversion circuit,voltage and current detection circuit,etc.,and the software part uses the CCS6.0 development platform to write the control algorithm.Finally,with the cooperation of software and hardware,the feasibility and superiority of parameter identification algorithms and control strategies were verified.