IEEE Access (Jan 2024)

Improved Triple-Voltage-Vector Model-Free Predictive Current Control for Synchronous Reluctance Motor Drives

  • Dhanya Velmurugan,
  • Arunkumar Arumugam,
  • Cheng-Kai Lin,
  • Crestian Almazan Agustin,
  • Jung-Chieh Chen

DOI
https://doi.org/10.1109/ACCESS.2024.3399324
Journal volume & issue
Vol. 12
pp. 68109 – 68129

Abstract

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This article propounds an elaborated analysis of a model-free predictive current control (MFPCC) which relies on the improved triple-voltage-vector (ITVV) modulation scheme for synchronous reluctance motor (SynRM) drives. And also it proffers a comparison with modulated dual-voltage-vector (DVV) MFPCC in Reddy et al. (2022) to manifest the perquisite of the proposed model. This scheme presents a low complexity and an effective approach for candidate voltage vector selection, thereby reducing the burden of computation to a significant extent. Comparatively, the current errors and ripples associated with the existing DVV and TVV-MFPCC methods are lessened. Also, the time required for the calculation of the predictive current controller is minimized by first establishing the duty cycle’s initial value to a constant value before performing the calculation. As a result, by depreciating a cost function, one can choose an ideal switching mode. Following this, the requisite duty cycle can be directly computed in the absence of any differential calculations by the propounded method in lieu of its initial value. Eventually, the experimental outcomes conducted using a Texas Instruments microcontroller TMS320F28379D, the same as in Reddy et al. (2022), confirm the accuracy and practicality of the modulated MFPCC with online duty cycle calculation.

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