Optimization of driving force of linear switched reluctance motor

Optimisation of double‐sided linear switched reluctance motor for mass and force ripple minimisation

“…9 and 10. To select the final and best optimal solution, we used the 'fuzzy theory' approach mentioned in (25). The parameters indicated in Table 6 are related to the best solution selected using the 'fuzzy theory' from the set of all solutions shown in Figs.…”

“…The computation intelligence-based techniques, such as genetic algorithm (GA) and particle swarm optimisation (PSO) algorithms, in the last decades have often been used in the design optimisation [20][21][22][23][24][25][26][27]. These methods optimise the geometric design of the LSRMs (SRMs) to obtain maximum ratio of the average force (torque) with respect to the total mass and minimum force ripple.…”