A Robust Model-Free Predictive Current Control of Induction Motor Drives

Abstract

Model predictive control (MPC) can achieve high performance control of induction motor (IM) drives by selecting the optimal voltage vector. However, a large number of motor parameters are used in the control algorithm. Therefore, the performance of MPC is highly dependent on the accuracy of the motor parameters which means that dynamic and steady-state performance will be affected when the motor parameters are not accurately set in the controller. This paper proposes a model-free predictive current control (MFPCC) based on the ultra-local model. The whole controller only needs system input and output data without motor parameters. When motor parameters deviate from their nominal values, the satisfactory control performance can still be obtained. The experimental results confirm the effectiveness of the proposed method.