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Title: Landmark operator inspired artificial bee colony algorithm for optimal vector control of induction motor

Authors: Fani Bhushan Sharma; Shashi Raj Kapoor

Addresses: Department of Electrical Engineering, Rajasthan Technical University, Kota, India ' Department of Electrical Engineering, Rajasthan Technical University, Kota, India

Abstract: In recent years, soft computing strategies have played vital role to solve optimisation problems associated with real world. In this paper, an efficient soft computing strategy namely, artificial bee colony algorithm (ABCalgo) is modified with incorporating landmark operator. The proposed modified ABC algorithm is named as landmark inspired ABC (LMABC). The performance of LMABC is evaluated on benchmark functions. Further, the proposed LMABC is applied for vector control of induction motor (IM) and subsequently to improve its efficiency. The vector control of IM includes control of magnitude and phase of each phase current and voltage. In this research paper the field orientated control, a digital implementation which demonstrates the capability of performing direct torque control, of handling system limitations and of achieving higher power conversion efficiency is considered. The obtained outcomes are significantly better than other state-of-art algorithms available in literature.

Keywords: swarm intelligence; landmark; induction motor; metaheuristics; real world optimisation.

DOI: 10.1504/IJSI.2021.10037380

International Journal of Swarm Intelligence, 2021 Vol.6 No.1, pp.1 - 23

Received: 08 Apr 2019
Accepted: 04 May 2019

Published online: 05 May 2021 *

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