Predictive Current Control of Switched Reluctance Machine for Accurate Current Tracking to Enhance Torque Performance

Ahmad, SS and Thirumalasetty, M and Narayanan, G (2022) Predictive Current Control of Switched Reluctance Machine for Accurate Current Tracking to Enhance Torque Performance. In: 1st IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022, 20 - 22 May 2022, Virtual, Arad, pp. 840-845.

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Abstract

This paper proposes a predictive control technique for accurate tracking of the current reference in a switched reluctance motor drive. The fast dynamic response of the proposed current control technique is demonstrated through tracking of square current and optimal current wave-shapes over a wide ranges of torque and speed through simulation and experiments. Accurate tracking of different current wave-shapes are required to obtain desired average torque, as well as to minimize torque ripple and losses. Proposed technique offers improved performance over existing state-of-the-art techniques such as gain-scheduling and delta modulation. Experimental results show consequent fast torque response and low torque ripple.

Item Type:	Conference Paper
Publication:	2022 IEEE IAS Global Conference on Emerging Technologies, GlobConET 2022
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Electric drives; Reluctance motors; Torque, Accurate tracking; Current waves; Discrete-time model; Machine modelling; Model prediction; Modulated current; Performance; Pulse width modulated current control; Pulse-width-modulated; Switched Reluctance Machine, Electric current control
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	19 Oct 2022 09:41
Last Modified:	19 Oct 2022 09:41
URI:	https://eprints.iisc.ac.in/id/eprint/77454

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