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access icon free Optimisation of double-sided linear switched reluctance motor for mass and force ripple minimisation

© The Institution of Engineering and Technology
Received 04/03/2017, Accepted 02/01/2019, Revised 13/10/2018, Published 07/01/2019

Linear switched reluctance motors (LSRMs) are attractive machines for industrial applications. Their structure is simple, robust, and low cost. Despite these advantages, LSRMs suffer from inherent high force ripples which induce noise and vibration problems. The force performance of these motors is largely influenced by their geometry. Therefore, the dimensions must be optimised to improve the force performance. The aim of the present work was to determine the optimum dimensions of a double-sided LSRM using non-dominated sorting genetic algorithm-II and multi-objective seeker optimisation algorithm along with a three-dimensional (3D) finite element analysis. The analysis and modelling results are presented, and a laboratory prototype is built. The results revealed that the optimised motor has a higher average force, lower force ripple, and lower total mass

Inspec keywords: reluctance motors; finite element analysis; linear motors; genetic algorithms

Other keywords: mass ripple minimisation; nondominated sorting genetic algorithm-II; double-sided LSRM; force ripple minimisation; inherent high force ripples; double-sided linear switched reluctance motor; three-dimensional finite element analysis; multiobjective seeker optimisation algorithm

Subjects: Linear machines; Optimisation techniques; Synchronous machines; Finite element analysis

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