Direct Speed Regulation for PMSM Drive System Via a Generalized Dynamic Predictive Control Approach

Aiming to improve the dynamic performance and disturbance rejection ability of the PMSM speed regulation system, this paper investigates a novel generalized dynamic predictive control (GDPC) strategy with an autonomous horizon tuning mechanism based on the non-cascade structure. Firstly, two extended disturbance observers (EDOs) are constructed to estimate the matched disturbances and the unmatched disturbance of the system and introduce them into the receding horizon optimization. Secondly, a novel dynamic horizon tuning mechanism is researched in this paper to improve control performance of the traditional generalized predictive control (GPC) which deviates from the optimal control under complex working conditions. Simulations show that the proposed GDPC is clearly superior to the cascade PI control and the GPC in terms of dynamic performance and disturbance rejection accuracy under changing working conditions.