Decision-Making-Based Multiobjective Direct Speed Predictive Control Without Weighting Factors
Makaleler > Tam Makale · 2026
Yazarlar: Emrah ZERDALİ, SID AHMED EL MEHDI ARDJOUN, JACOPO RICCIO, MARCO RIVERA, PATRICK WHEELER
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, SCI Expanded İndekslerine Giren Dergi, Uluslararası, 2026, cilt 73, ss 5234-5244
Özet
<p><span style="background-color: rgb(255, 255, 255); color: rgb(51, 51, 51);">A novel decision-making (DM) based direct speed predictive control (DSPC) strategy for an induction machine (IM) is presented in this article, eliminating the requirement for weighting factors (WFs). The proposed technique applies the Euclidean norm-based DM approach to DSPC, tackling the challenges observed in conventional WF-based model predictive control strategies. In addition, an extended Kalman filter (EKF) is considered to estimate the rotor flux and load torque, improving the robustness of the system and decreasing complexity by avoiding multiple estimators. The DM-based DSPC technique is validated by simulation and experimental results under different operating conditions. This article also demonstrates the effectiveness of the proposed technique by establishing a comparison with a conventional DSPC technique that uses WFs and the same EKF observer. Our results confirm that the DM-based DSPC scheme improves the control performance and robustness of the system, being a promising alternative for high-performance drive applications.</span></p>