PWM-Based Optimal Predictive Direct Torque Control of Switched Reluctance Machine

Thirumalasetty, M and Narayanan, G (2022) PWM-Based Optimal Predictive Direct Torque Control of Switched Reluctance Machine. In: 10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2022, 14 - 17 December 2022, Jaipur.

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Abstract

This paper proposes a novel PWM-based predictive torque controller for Switched Reluctance Machines (SRM). The phase currents are predicted using a simplified flux linkage model, and phase torques are predicted from static-torque characteristics. Both predicted currents and phase torques are then expressed in incremental duty ratio. A cost function to minimize the primary objective of instantaneous torque error and the secondary objective of RMS currents is then solved online to obtain the optimal duty ratio at every switching period. The impact of weight given to the RMS currents in the cost function is studied through experiments and simulation. An appropriate weight to ensure acceptable torque performance and RMS phase currents is selected. The proposed controller is validated through experiments and simulations on a 4-phase, 8/6 pole SRM at different operating conditions.

Item Type:	Conference Paper
Publication:	10th IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 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:	Controllers; Cost functions; Electric machine control; Flux linkage; Pulse width modulation; Reluctance motors; Torque control, 'current; Cost-function; Duty ratios; Optimal controls; Phase currents; Predictive control; Predictive direct torque control; Pulsewidth modulations (PWM); Switched Reluctance Machine; Torque ripples, Torque
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	17 May 2023 09:04
Last Modified:	17 May 2023 09:04
URI:	https://eprints.iisc.ac.in/id/eprint/81618

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