Robust Predictive Speed Control of SPMSM Drives With Algebraically Designed Weighting Factors

Predictive speed control (PSC) is a promising control strategy for high dynamic performance electrical drives. However, its implementation faces two challenges: the selection of weighting factors and the elimination of steady-state errors (SSEs). The weighting factors are commonly selected through trial-and-error, which is time consuming. Additionally, SSEs are frequently observed due to model uncertainties and parameter mismatches. Focusing on the above issues, this paper proposes a PSC strategy for surface-mounted permanent magnet synchronous motor (SPMSM) drives, where the weighting factors are designed algebraically and SSEs are eliminated. The weighting factor design process is illustrated through rearranging the equivalent speed tracking error. The SSEs are eliminated by incorporating integral terms into the cost function. The performance of the proposed strategy is validated through comparative experiments with field-oriented control (FOC) and adaptive integral sliding-mode predictive control (AISMPC). The results demonstrate the effectiveness of the designed weighting factors and the robustness of the system.