Abstract
Model predictive control has been extensively researched for many years, which has the advantages of clear principles and fast dynamic response. However, it also has the disadvantage of high sensitivity of system parameters, which requires accurate system models and system parameters to exert its performance. Aiming at the problem that model predictive control is sensitive to the parameters of dual three-phase permanent magnet synchronous motor (DTP-PMSM), a model-free predictive current control method for DTP-PMSM based on the ultra-local model is proposed. The strategy establishes the current ultra-local model of the DTP-PMSM through the current and voltage information of the system. Then based on the current ultra-local model, a model-free stator current controller which does not depend on the DTP-PMSM parameter model is designed. Finally, the comparative analysis of the simulation experiment proves the validity and correctness of the proposed method.KeywordsModel-free predictive controlDual three-phase permanent magnet synchronous motor (DTP-PMSM)Ultra-local model
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