Sensitivity analysis and
            <scp>multiobjective</scp>
            design optimization of flux switching permanent magnet motor using
            <scp>MLP‐ANN</scp>
            modeling and
            <scp>NSGA‐II</scp>
            algorithm

Mahmouditabar, Farshid; Vahedi, Abolfazl; Mosavi, Mohammad Reza; Bafghi, Mohammad H. B.

doi:10.1002/2050-7038.12511

Cited by 17 publications

(4 citation statements)

References 39 publications

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“…Another important aspect of the Taguchi method is that it can be easily implemented in statistical software and provides the optimal combination of design parameters with a very small number of simulations. If evolutionary processing methods, such as Artificial Neural Network (ANN), Kriging Model (KM), etc., were used, the number of required simulations would increase greatly [29,30].…”

Section: Implementation Of the Taguchi Methodsmentioning

confidence: 99%

An Innovative H-Type Flux Switching Permanent Magnet Linear Generator for Thrust Force Enhancement

2023

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In this paper, two H-type flux switching permanent magnet linear generators with outer-translator and inner-translator configurations are discussed and compared to a more conventional flux switching topology. The stators consist of H-Type modules housing circumferential coils and are surrounded by two annular permanent magnets. In conventional flux switching machines, the windings are orientated perpendicular to the direction of motion and the conductors twist around the magnets. In H-type topologies, the orientation of the windings is in the same plain as the magnets and parallel to the direction of motion, resulting in an increase in flux linkage. The proposed topologies are designed for a low operating speed and a large magnetic gap, as found in wave energy converters. All topologies are optimized using the Taguchi optimization approach with the goals of reducing force ripple and increasing the average thrust force and efficiency. The 2D finite element method (FEM) is used in the optimization stage to calculate the optimized parameters of the presented generators, after which the optimized structures are simulated using 3D FEM, and the results are extracted. The results of the optimization show that the H-type topologies deliver a 20% higher shear stress whilst offering an easier to assemble structure.

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Section: Implementation Of the Taguchi Methodsmentioning

confidence: 99%

An Innovative H-Type Flux Switching Permanent Magnet Linear Generator for Thrust Force Enhancement

2023

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“…For this purpose, it is necessary to use the sensitivity analysis (SA) method to specify the more important design parameters. The available methods to perform SA are local SA, global SA, analysis of variance, correlation coefficients, and signal-to-noise (S/N) ratio [40]. In this paper, the S/N ratio, which is based on Design of Experiment (DOE), is utilized.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Design Optimization of Induction Motors with Different Stator Slot Rotor Bar Combinations Considering Drive Cycle

Mahmouditabar,

Baker

2023

Energies

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In this paper, a sequential Taguchi method for design optimization of an induction motor (IM) for an electric vehicle (EV) is presented. First, a series of empirical and mathematical relationships is systematically applied to reduce the number of possible stator slot rotor bar (SSRB) combinations. Then, the admissible optimal combinations are investigated and compared using finite element (FE) simulation over the NEDC driving cycle, and the three best combinations are selected for further analysis. Each topology is optimized over the driving cycle using the k-means clustering method to calculate the representative working points over the NEDC, US06, WLTP Class 3, and EUDC driving cycles. Then, using the Design of Experiment (DOE)-based Taguchi method, a multi-objective optimization is carried out. Finally, the performance of the optimized machines in terms of robustness against manufacturing tolerances, magnetic flux density distribution, mechanical stress analysis, nominal envelope curve and efficiency map is carried out to select the best stator slot rotor bar combination. It is also found that the K-means clustering method is not completely robust for the design of electric machines for electric vehicle traction motors. The method focuses on regions with high-density working points, and it is possible to miss the compliant with the required envelope curve.

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“…In this article, the sensitivity analysis method is utilized to determine the level of the optimization parameters. The calculation equation of the sensitivity parameters is as follows [19,20]:…”

Section: Sensitivity Analysismentioning

confidence: 99%

Design and Multi-Objective Optimization of a Composite Cage Rotor Bearingless Induction Motor

Yang

Sun

et al. 2023

Electronics

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To improve the quality of starting torque and suspension force, a composite cage rotor bearingless induction motor (CCR-BIM) is designed, which adopts a composite cage rotor structure that combines an inner rotor and an outer rotor. First, the overall structure of the CCR-BIM is designed, the composite cage rotor of the CCR-BIM is specially designed and analyzed for the induction principle, and the mathematical model of suspension force and torque is deduced. Second, the initial structural parameters are determined, and motor qualities, such as starting torque quality and suspension force quality, are compared and analyzed between the proposed motor and BIM using a finite element model (FEM). Third, based on the response surface model (RSM), a multi-objective improved NSGA-II is constructed, and the three optimization objectives of starting torque, suspension force, and suspension force pulsation are optimized. Finally, the results of the experimental setup prove that the starting torque increases by 6.98%, the suspension force increases by 5.45%, and the suspension force pulsation decreases by 18.54%. The effectiveness of the proposed motor and the correctness of the multi-objective optimization strategy are verified.

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Sensitivity analysis and multiobjective design optimization of flux switching permanent magnet motor using MLP‐ANN modeling and NSGA‐II algorithm

Cited by 17 publications

References 39 publications

An Innovative H-Type Flux Switching Permanent Magnet Linear Generator for Thrust Force Enhancement

An Innovative H-Type Flux Switching Permanent Magnet Linear Generator for Thrust Force Enhancement

Design Optimization of Induction Motors with Different Stator Slot Rotor Bar Combinations Considering Drive Cycle

Design and Multi-Objective Optimization of a Composite Cage Rotor Bearingless Induction Motor

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