Permanent Magnet Brushless DC Motor Design for Solar Fed Surface Type Water Pumping

Sen, Aryadip; Singh, Bhim; Pansere, Chaitanya; Dudharejiya, Darshan; Jain, Chinmay; Modi, Manoj

doi:10.1109/picc51425.2020.9362417

Cited by 1 publication

(1 citation statement)

References 15 publications

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“…They generate less noise during rotation, making them suitable for noise-sensitive applications. With a simpler, smaller design and no brushes causing friction, they have high power density and can rotate at high speeds, making them ideal for diverse industries such as electric vehicles, drones and solar water pumping (Carev et al , 2021; D’Andrea et al , 2020; Garip and Yasa, 2020; Sen et al , 2020; Zhao et al , 2021).…”

Section: Introductionmentioning

confidence: 99%

Crowding-based multi-objective artificial gorilla troops optimizer for brushless direct current motor design optimization

Bensoltane,

Belli

2023

COMPEL

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Purpose This paper aims to present a novel multi-objective version of the Gorilla Troops optimizer (GTO), based on crowding distance, to achieve the optimal design of a brushless direct current motor. Design/methodology/approach In the proposed algorithm, the crowding distance technique was integrated into the GTO to perform the leader selection and also for the external archive refinement from extra non-dominated solutions. Furthermore, with a view to improving the diversity of non-dominated solutions in the external archive, mutation operator was used. For constrained problems, an efficient strategy was adopted. The proposed algorithm is referred to as CD-MOGTO. Findings To validate the effectiveness of the proposed approach, it was initially tested on three constrained multi-objective problems; thereafter, it was applied to optimize the design variables of brushless direct current motor to concurrently fulfill six inequality constraints, maximize efficiency and minimize total mass. Originality/value The results revealed the high potential of the proposed algorithm over different recognized algorithms in solving constrained multi-objective issues and the brushless direct current motors.

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