A Novel Parameter-free Model Predictive Voltage Control for SPMSM System

Addressing the challenge posed by the susceptibility of traditional model predictive voltage control (MPVC) for surface-mounted permanent magnet synchronous motor (SPMSM) system to parameters mismatch, this paper introduces a novel MPVC approach with no motor parameters. Firstly, the traditional MPVC approach is presented briefly. Secondly, within this approach, the related terms of motor parameters are transformed into inductance factor that only contains current and voltage information, then a nonparametric voltage prediction model is constructed. Thirdly, through simple sector judgment, the optimal voltage vector required for effective control is directly deduced from the reference voltage. Lastly, the simulation outcomes clearly demonstrate the efficacy of the suggested approach.