Research on Internal Model Control of Induction Motors Based on Luenberger Disturbance Observer

Internal model control (IMC) has been used widely for its less computational burden, and simple implementation. By IMC, the disturbance including model mismatch, parameter variations, and other unstructured dynamic uncertainties cannot be eliminated effectively in the induction motor (IM) control system. To optimize the current-control performance of IM drives, a nonlinear current-control algorithm for the IM systems using IMC strategy based on a Luenberger disturbance observer (IMC-LDO) is proposed in this article. The time-varying disturbance has been considered in the IM system. Based on this system, the proposed method is derived, where a LDO is introduced to estimate the disturbance. To tune the proposed scheme properly, a stability analysis based on Jury criterion has been used to determine the selection of the observer gain. Comparative experimental results indicate that the proposed method improves the dynamic property and the robustness in case of parameter variations and step load change. The feasibility and effectiveness of the proposed method are verified by the experimental results.