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- W4386066006 abstract "This paper proposes an online maximum torque per ampere (MTPA) tracking algorithm for an interior permanent-magnet synchronous motor (IPMSM) using sequential quadratic programming (SQP). This paper formulates the MTPA problem as a min-max problem of the Lagrangian function. Based on the formulation, the proposed algorithm tracks the MTPA current operating point in real-time while considering magnetic saturation, cross-magnetization, and the effect of flux linkage variation caused by the temperature variation. Furthermore, the proposed algorithm does not require motor parameters, premade look-up tables (LUTs), and gains that need to be tuned. The performance of the proposed method is verified by experimental results with a 25 kW IPMSM. By applying the proposed algorithms for generating current reference, fast MTPA tracking is achieved even at the magnetically saturated operating region." @default.
- W4386066006 created "2023-08-23" @default.
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- W4386066006 date "2023-05-22" @default.
- W4386066006 modified "2023-10-18" @default.
- W4386066006 title "Online MTPA Tracking of IPMSM Based on Min-Max Optimization" @default.
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- W4386066006 doi "https://doi.org/10.23919/icpe2023-ecceasia54778.2023.10213954" @default.
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