A Model Parameter-less Predictive Current Control Method for Synchronous Reluctance Motor Drives

The traditional model predictive current control (MPCC) depends on accurate motor parameters and the robustness is poor. To solve this problem effectively, a method of updating current prediction model parameters based on current difference is proposed in this paper. Compared with the traditional model-free control scheme based on current difference using a lookup table, this scheme can update the current difference information in real-time and has better steady state performance. In the existing literature, the improved model-free predictive current control (MFPCC) methods usually need to reconstruct the current difference information for predicting the next step according to the current change information under the action of multiple voltage vectors. However, in the proposed method, the prediction model can be updated only with single current difference. The effectiveness of the proposed scheme is verified on a 2.2kW synchronous reluctance motor (SynRM) drive platform.