Adaptive FST-SMC Speed Control of PMSMs Based on Robust Model Current Prediction

Traditional Model Predictive Current Control (MPCC) strategies rely on accurate motor parameters, and in typical MPCC control systems, the use of a PI speed controller results in poor dynamic response performance. In the present study, a robust MPCC strategy that leverages adaptive Fast Super-Twisting Sliding Mode Control (FST-SMC) is proposed for regulating the speed of permanent magnet synchronous motors. First, we examine how errors in motor parameters impact current prediction accuracy and, subsequently, we propose a sliding mode disturbance observer aimed at rectifying these parameter discrepancies within the predictive model. An FST-SMC speed controller is proposed and a Luenberger observer is designed for providing feedforward of this load torque. An adaptive compensation mechanism is introduced to improve the system’s dynamic features and disturbance rejection ability. Experimental results demonstrate that this control system not only boosts MPCC robustness but also enhances the system’s speed response and disturbance rejection capability.