Robust Predictive Cascaded Speed and Current Control for PMSM Drives Considering Parameter Variations
Xiaodong Sun, Zonghao Su, Gang Lei, Ming Yao
Abstract
This article proposes a predictive cascaded speed and current control to improve the dynamic performance and robustness of permanent magnet synchronous motor drives against machine parameter variations. First, a novel model predictive speed controller is developed to achieve high performance and a wide speed range for the speed outer loop, which can minimize the system's inertial link overshoot and settling time. Second, the current inner loop utilizes an incremental current model to eliminate the complexities and variations caused by flux linkage parameters in complex working scenarios. Third, the enhanced model reference adaptive system is proposed for parameter identification, integrating the new fuzzy logic controller within the framework. Additionally, comprehensive compensation of the inverter distortion voltage is implemented to ensure improved dynamic and steady-state effectiveness, resulting in enhanced performance and higher control accuracy. Finally, experimental validation on a dSPACE system with a sampling frequency of 20 kHz demonstrates the stability and effectiveness of the proposed method.