Particle Swarm Optimization based Output-feedback Control of Vector-controlled Induction Motor Drives considering Core Loss Resistance

Reddy, SRP and Loganathan, U (2020) Particle Swarm Optimization based Output-feedback Control of Vector-controlled Induction Motor Drives considering Core Loss Resistance. In: 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, 2 January 2020 - 4 January 2020, Cochin.

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Abstract

This paper presents output feedback control of Induction Machine (IM) drive for rotor field oriented (vector) control scheme. Impact of core loss resistance is also considered while designing controllers in the proposed method. Recursive algorithms are reported in the literature to obtain the optimal values of controller gains by minimising cost function in output feedback control. However, these algorithms require an initial guess on controller gains and they do not guarantee global minimum. In this paper, Particle Swarm Optimization (PSO) algorithm is used to obtain the optimal values of controller gains. The proposed method does not require any initial guess on the values of controller gains. Also, the cost function in the proposed method is modified such that all the closed loop poles lie within the unit circle, thereby making the closed loop system stable. The proposed method is validated through simulation as well as experimental results.

Item Type:	Conference Proceedings
Publication:	2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy, PESGRE 2020
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright of this article is belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	Induction machine; Output feedback; Particle swarm optimization; State space control; Vector control
Department/Centre:	Division of Electrical Sciences > Electronic Systems Engineering (Formerly Centre for Electronic Design & Technology)
Date Deposited:	03 Jun 2022 05:32
Last Modified:	09 Dec 2022 08:42
URI:	https://eprints.iisc.ac.in/id/eprint/65519

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