Abstract
In multiobjective optimization problems, weighting factors in conventional model predictive torque control (MPTC) cost function are integral, which are directly related to the system performance. However, the design of the weighting factors is a nontrivial process. In this paper, the multiobjective optimization for switching frequency reduction is considered by ranking-based MPTC in a surface permanent magnet synchronous motor (PMSM) system. The priority design solves the problem that the optimal solution is not unique in the ranking process. Furthermore, a ranking-based MPTC with range scaling factor is proposed. The range scaling factors are designed to flexibly adjust the relative importance of control targets, and the guidelines for range scaling factors design are provided, which provide an effective method for simplifying the design of the scaling factors. Finally, a MPTC scheme based on fuzzy ranking approach is proposed to adjust the scaling factor dynamically. Simulation studies are carried out, and the results are compared with conventional MPTC to verify the validity of the proposed MPTC.
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