A cascaded linear active disturbance rejection control-based multi-stage model predictive control for permanent magnet synchronous motor

Abstract

A cascaded linear active disturbance rejection control multi-stage model predictive control (CasLADRC-MSMPC) method is proposed to provide faster speed and current response, as well as stronger disturbance suppression ability for permanent magnet synchronous motor (PMSM) systems. Firstly, based on the analysis of the discrete mathematical model of PMSM, a multi-stage finite set MPC algorithm is proposed. Secondly, the control performance of the traditional LADRC (TLADRC) algorithm and cascaded LADRC algorithm is analyzed, which provides an excellent controller for the MSMPC algorithm. The MSMPC algorithm is then subjected to the cascaded LADRC algorithm in order to enhance the overall control system’s performance and anti-interference capability. Finally, experimental analysis is conducted on the TLADRC-MPC strategy, CasLADRC-MPC strategy, and CasLADRC-MSMPC strategy. The experimental results show that the proposed algorithm has better current tracking ability and stronger anti-interference ability.