Novel Parameter Mismatch Impact Elimination Strategy for IM FCS-MPCC Using Sliding Mode Perturbation Observation and Compensation Techniques

The FCS-MPCC method is achieved based on the machine model, leading to the fact that the parameters have great impacts on the control performance, especially the steady-state characteristics. To solve the problem, a novel sliding mode (SM) disturbance observer based finite control set model predictive current control (FCS-MPCC) strategy is proposed to improve the control performance of in-duction motors (IM). In this paper, the predicting model for IMs is established firstly. Simultaneously, a current-type flux observer is constructed according to the machine properties. Then, based on the predicting plant model, the disturbances caused by parameter mismatch are analyzed, posing the necessity of developing effective measures to compensate for the disturbances. Thirdly, an improved SM disturbance observer based on hyperbolic switching function for chattering suppression, which is simple to implement, is established to detect the real-time disturbances arising from parameter mismatch. Finally, the developed disturbance observer is integrated into the FCS-MPCC implementation process to eliminate the influence of parameter mismatch. The hardware-in-the-loop (HIL) experiment is carried out on a 0.5 kW IM to validate and verify the performance of the proposed SM disturbance observer-based FCS-MPCC strategy.