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Open AccessArticle

GPIO-Based Nonlinear Predictive Control for Flux-Weakening Current Control of the IPMSM Servo System

by Chao Wu, Jun Yang * and Qi Li
School of Automation, Southeast University, Key Laboratory of Measurement and Control of CSE, Ministry of Education, Nanjing 210096, China
*
Author to whom correspondence should be addressed.
Energies 2020, 13(7), 1716; https://doi.org/10.3390/en13071716
Received: 1 March 2020 / Revised: 24 March 2020 / Accepted: 30 March 2020 / Published: 4 April 2020
This paper proposes a generalized proportional integral observer (GPIO) based nonlinear predictive control (NPC) for an interior permanent magnet synchronous motor (IPMSM) to improve the flux-weakening (FW) current control performance against the complex nonlinear cross-coupling terms and the IPMSM parameters’ variations. First, the IPMSM is remodeled to further analyze the FW control difficulties caused by such cross-coupling terms and parameters variations. Considering the parameters’ variations as a kind of disturbance, a GPIO is then designed to compensate for such disturbance. A GPIO-based NPC is finally designed to handle the nonlinear cross-coupling terms to obtain an optimized current control performance. Experiments on a digital signal processor (DSP) based IPMSM servo system validate the workability of the proposed control scheme. View Full-Text
Keywords: interior permanent magnet synchronous motor; flux-weakening; generalized proportional integral observer; nonlinear predictive control interior permanent magnet synchronous motor; flux-weakening; generalized proportional integral observer; nonlinear predictive control
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MDPI and ACS Style

Wu, C.; Yang, J.; Li, Q. GPIO-Based Nonlinear Predictive Control for Flux-Weakening Current Control of the IPMSM Servo System. Energies 2020, 13, 1716.

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