Extended Horizon Predictive Current Control of Switched Reluctance Machine

Thirumalasetty, M and Narayanan, G (2023) Extended Horizon Predictive Current Control of Switched Reluctance Machine. In: IEEE International Electric Machines and Drives Conference, 15-18 May 2023, San Francisco, CA, USA.

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Abstract

This paper proposes an extended horizon predictive current controller for Switched Reluctance Machine (SRM). An analytical equation is reported for real-time computation of the optimal duty ratio to minimize the RMS error between the future current references and predicted currents over a horizon. Compared to the existing deadbeat predictive control, the proposed current control tracks the current reference with lower RMS error over a wide range of speeds and current magnitudes. The robustness of the proposed controller is demonstrated by introducing -20 and +20 errors in nominal values of the model parameters. The computational burden of the proposed controller is compared with the existing deadbeat controller. Simulations and experimental results of the proposed controller are presented on an 8/6 pole, 4 kW, 4-phase SRM laboratory prototype drive. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	2023 IEEE International Electric Machines and Drives Conference, IEMDC 2023
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to TheInstitute of Electrical and Electronics Engineers Inc.
Keywords:	Electric current control; Errors, Analytical equations; Current controller; Current reference; Duty ratios; Horizon; Predictive control; Predictive current control; Real-time computations; RMS errors; Switched Reluctance Machine, Controllers
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	21 Dec 2023 04:17
Last Modified:	21 Dec 2023 04:17
URI:	https://eprints.iisc.ac.in/id/eprint/83534

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