2018
DOI: 10.1049/iet-epa.2018.5041
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Multi‐objective optimisation of a permanent magnet flux‐switching motor by combined parameter sensitivities analysis with non‐linear varying‐network magnetic circuit method

Abstract: In this study, a new sensitivity analysis based on non-linear varying-network magnetic circuit (VNMC) method is proposed for an outer-rotor I-shaped permanent magnet flux-switching motor. By integrating concept of sensitivity analysis into the non-linear VNMC method, the whole design efficiency can be improved effectively by using the comprehensive sensitivity method and sequential non-linear programming algorithm. In the optimisation process, two design objectives are selected, including machine output torque… Show more

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Cited by 11 publications
(6 citation statements)
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“…In this article, sequential nonlinear programing is used to optimise the set area, and convergence accuracy is set to 1%. After 175 iterations, the objective function value tends to be stable [13,14].…”
Section: Optimisation Methodsmentioning
confidence: 99%
“…In this article, sequential nonlinear programing is used to optimise the set area, and convergence accuracy is set to 1%. After 175 iterations, the objective function value tends to be stable [13,14].…”
Section: Optimisation Methodsmentioning
confidence: 99%
“…From the specified operational objectives and physical constraints, many optimisation schemes can be adopted for obtaining the appropriate PM motor parameters [16][17][18][19][20]. Based on their specific features and the selected design variables, by fixing the external diameter, the air gap, the rated operational voltage and current, the three PM motors are, respectively, optimised for achieving the desired mobility-assistive operations on the exoskeleton.…”
Section: Optimisation Designs Of Pm Motorsmentioning
confidence: 99%
“…The MEC method can design special parametric magnetic circuits for a certain type of machine, and its performance can be quickly predicted in the early stage of machine design and optimisation. Besides, the preliminary optimisation design of the machine can be carried out by the MEC [8]. Therefore, the calculation of different types of axial machines by the MEC method of AFPM machine still has high research value.…”
Section: Introductionmentioning
confidence: 99%