Open AccessOptimisation of double‐sided linear switched reluctance motor for mass and force ripple minimisation
Author(s) -
Soltanpour Mohammad Reza,
Abdollahi Hassan,
Masoudi Siamak
Publication year - 2019
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2018.5160
Subject(s) - switched reluctance motor , ripple , vibration , linear motor , finite element method , control theory (sociology) , sorting , computer science , work (physics) , torque ripple , minimisation (clinical trials) , engineering , mathematics , physics , algorithm , mechanical engineering , structural engineering , acoustics , electrical engineering , voltage , direct torque control , statistics , control (management) , artificial intelligence , induction motor , rotor (electric)
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