Analysis And Design Of Sensorless Control System For PMSM Based On ADRC Technology

Permanent magnet synchronous motor(PMSM)plays an important role in industrial production because of its high efficiency and small rotation.However,for the strong coupling multivariable PMSM system,simple PID control is difficult to meet the requirements of high performance control.Active disturbance rejection control(ADRC)can normalize the system as a series integral type.The generalized total disturbance of the system is estimated in the form of a new state variable by using the extended state observer(ESO)and used for compensation.Therefore,this paper introduces active disturbance rejection control technology into PMSM control system.In order to improve the position sensorless control system’s observation accuracy of the rotor position,based on the use of ESO to observe the back EMF in the ??coordinate system to extract the position information,the LESO back EMF observation scheme using parameter linearization is adopted.The third-order HLESO improved on the basis of the second-order LESO structure is replaced with the original second-order LESO,and the differential term of the error is introduced into the state variable of the disturbance estimation to further improve the observation accuracy of the back EMF.Simulations and experiments show that HLESO has less hysteresis for back EMF observations and higher observation accuracy.Combined with the normalized phase-locked loop,the rotor position information can be accurately estimated.Aiming at the traditional PI controller in the PMSM control system,the rapidity and elimination of overshoot can not be taken into account and the poor performance of suppressing load disturbance.In this paper,the linear active disturbance rejection controller is used in the speed and current double closed loop control system of PMSM.In order to improve the control accuracy of PMSM and enhance the anti-disturbance performance of the system,this paper proposes a fuzzy LSEF+LESO control architecture,omitting LTD,and using fuzzy controller to optimize LSEF in real time.The simulation results show that the text algorithm has higher dynamic response speed than the traditional PI controller,and obviously reduces the influence of load torque fluctuation on the motor speed.Set up a permanent magnet synchronous motor experimental platform combining DSP and host computer,and verify the effectiveness of the rotor position observation method based on the improved linear extended state observer and the fuzzy LSEF+LESO control strategy through experiments.The experimental results show that the improved HLESO rotor proposed in this paper The position observation algorithm has high accuracy in estimating the real-time position of the rotor;when the fuzzy LSEF+LESO control algorithm faces the load torque disturbance,the speed fluctuation amplitude is only 46.1% of the PI control,and the transition time is shortened by 67.5%.