Adaptive Fusion Sliding Mode Control in Model Predictive Synchronization Control for Multi‐Induction Motor

ABSTRACT

Conventional synchronization control strategies for multi‐induction motor (IM) often suffer from insufficient performance in both tracking and synchronization controllers, and the inherent trade‐off between tracking accuracy and synchronization precision is difficult to balance, which restricts further enhancement of the overall system control performance. To address these issues, this paper proposes an adaptive fusion sliding mode control in model predictive synchronization control (AFSMC‐MPSC) method. First, a multi‐IM model predictive synchronization control (MPSC) framework is constructed by integrating average deviation coupling control (ADCC) with model predictive torque control (MPTC). Then, an adaptive sliding mode observer (ASMO) is designed to estimate the load torque in real‐time. Finally, based on the MPSC framework and the observed load torque, an adaptive fusion sliding mode controller (AFSMC) is developed to achieve collaborative optimization of tracking control and synchronization control. Simulation and experimental results demonstrate that the proposed AFSMC‐MPSC method significantly improves the tracking and synchronization control performance and disturbance rejection capability of the system, and exhibits strong robustness against IM parameter mismatch.