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Updated: Mar 15, 2026

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Published on: October 1, 2019
A Novel CCS-MPC Algorithm for SPMSM Position Control with Innovative Constraint Processing Strategy
Lingbo Kong1,2,3, Jianli Wang1,2, Xinyu Dong3
1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130000, China.
None:
In this study, we develop a novel continuous control set model predictive control (NCCS-MPC) strategy for surface-mounted PMSM (SPMSM) position control, which consists of the improved multi-step model predictive position control (IMS-MPPC) algorithm and an innovative constraint processing strategy (ICPS). The algorithm reforms the predictive model in the conventional strategy for multi-step model predictive position control, and the one-step computational delay is compensated for within the multi-step CCS-MPC frame, guaranteeing steady-state performance. The ICPS takes speed and current constraints into account during reference trajectory planning and imposes a voltage constraint on the unconstrained optimization result, removing the problem of constraint conflict. A comparative simulation study combined with experimental results verified the merits of the proposed NCCS-MPC.
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