A Model-Free Predictive Current Control of Induction Motor Based on Current Difference

Abstract

Model predictive control (MPC) is a powerful control strategy for induction motor (IM) due to the advantages of simple concept, quick response, easy implementation and good performance. However, a large number of motor parameters are used in the control algorithm. Therefore, MPC is sensitive to machine parameter variation, and the performance degrades substantially if a mismatch exists between the model parameters and real machine parameters. This paper proposes a model-free predictive current control (MFPCC) which only relies on the stator current at the past and the present sampling instant. When motor parameters deviate from their nominal values, the satisfactory control performance can still be obtained. The simulation and experimental results confirm the effectiveness of the proposed method.