Offline Parameter Identification Strategy of Permanent Magnet Synchronous Motor Considering the Inverter Nonlinearities

Du, Pengcheng; Xu, Dianguo; Wang, Bo; Yan, Yu

doi:10.1109/icems56177.2022.9983312

Cited by 6 publications

(1 citation statement)

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“…Voltage error in motor control mainly refers to the deviation between the theoretical voltages calculated by an algorithm and the actual voltages applied to a PMSM [18]. The formation of voltage error is primarily attributed to the nonlinearity of the inverter, which encompasses factors such as the dead-time effect [19], signal delay [20], and parasitic capacitance [21]. For conventional control strategies with modulation, voltage error arising from the nonlinearity of the inverter leads to the occurrence of harmonic combinations at specific frequencies [22].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Direct Speed Control of Permanent-Magnet Synchronous Motors with Voltage Error Compensation

Gao

Chai

2023

Energies

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Traditional strategies for model predictive direct speed control of permanent-magnet synchronous motors are known to be vulnerable to voltage errors. In this paper, we present a novel approach that compensates for voltage errors arising from inverter nonlinearity and bus voltage uncertainties, while remaining unaffected by parameter errors. Initially, we conducted a detailed analysis to assess the impact of inverter nonlinearity and bus voltage uncertainties. Subsequently, we proposed a voltage error compensation strategy based on bus voltage identification. Using this strategy, the identified voltage error is effectively compensated within candidate voltage vectors. To validate the effectiveness of our proposed method, we conducted comprehensive experiments. The results demonstrate notable improvements compared with traditional model predictive control. Specifically, our method successfully reduces the total harmonic distortion of phase currents from 23.2% and 49.6% to 11.6% and 13.9%, respectively. Additionally, it accurately identifies voltage errors, even in the presence of parameter errors. Overall, our proposed method presents a robust and reliable solution for addressing voltage errors, thereby enhancing the performance and stability of the system.

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