ZHANG B, PAN H, ZHAO Y, WANG D, et al． Design and implementation of double closed loop predictive control system of PMSM based on grey prediction model and reduced order Luenberger observer［J］.Journal of Henan Polytechnic University(Natural Science). doi:10.16186/j.cnki.1673-9787.2023020062.

doi:10.16186/j.cnki.1673-9787.2023020062

Received：2023-12-22

Revised：2024-01-20

Online：2025-03-06

Design and implementation of double closed loop predictive control system of PMSM based on grey prediction model and reduced order Luenberger observer (Online)

ZHANG Biao¹, PAN Hongguang², ZHAO Yinghua¹, WANG Dongliang¹

(1. Branch of Qinglongsi Coal Mine, CHN Energy Yulin Energy Co., Ltd.，Yulin 719408, Shaanxi, China; 2. College of Electrical and Control Engineering, Xi 'an University of Science and Technology, Xi 'an 710054, Shaanxi, China)

Abstract: Objectives To further enhance the dynamic response and anti-interference performance of the permanent magnet synchronous motor (PMSM) control system, Methods a double closed-loop predictive control scheme based on grey prediction model and reduced-order Luenberger observer was proposed. Firstly, in order to predict the d、q axis reference current of PMSM more accurately through the historical current data, the grey prediction model was introduced into the current inner loop to improve the dynamic current response performance based on double closed-loop MPC system. Secondly, a reduced-order Luenberger observer was designed in the speed outer loop to observe the load torque and make compensation control, which reduced the dynamic response time and the recovery time after interference. Finally, the proposed strategy was verified by simulation and experiment respectively. Results When the motor adopted the MPC+DPC scheme, the speed rise time of the PMSM was about 0.3s when it started no-load; when the load torque of 6 N·m     was abruptly added to the motor, the motor speed dropped, the maximum speed fluctuation was 100r, the speed recovery time was 0.4s, and then the A-phase current THD value was 27.59%. When the motor adopted the scheme proposed in this paper, the no-load start of the PMSM speed rise time was about 0.18s, when the load of  6 N·m was suddenly added to the motor, the motor speed dropped, the maximum speed fluctuation was 65r, the speed recovery time was 0.2s, after stable operation, the A-phase current THD value was 19.35%. Conclusions The results showed that the no-load start time of PMSM was shorter when the improved double closed-loop predictive control scheme was adopted in this paper. When the load was suddenly applied, the speed fluctuation was smaller and the speed recovery speed was faster. With less current disturbance, it had faster dynamic response performance, stronger anti-disturbance ability and better current control performance.

Key words: permanent magnet synchronous motor; double closed-loop predictive control； grey prediction model; reduced-order Luenberger observer