Optimal Design of a Spoke-type Permanent Magnet Motor with Phase-group Concentrated-coil Windings to Minimize Torque Pulsations

Zhao, Wenliang; Kwon, Jung-Woo; Wang, Xiuhe; Lipo, T.Α.; Kwon, Byung-il

doi:10.1109/tmag.2017.2664075

Cited by 26 publications

(13 citation statements)

References 9 publications

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“…NSGAII and NSGAIII multi-objective optimization algorithms are based on conventional genetic algorithm. GA has been used in many optimization problems such as efficiency, weight, cost and harmonics of electric motors or other industrial problems [5][6], [18][19][20][21]. In these studies, solutions often depend on multiple conflicting objectives, so it is necessary to use multi-objective evolutionary algorithms for such optimization problems.…”

Section: Multi-objective Optimization Algorithmsmentioning

confidence: 99%

“…So far, many evolutionary algorithms have been used in the design optimizations of PMSMs and one of them is undoubtedly the genetic algorithm (GA). GA is generally used in single objectives to increase efficiency, reduce weight, and eliminate harmonics [5][6][7]. In fact, optimizations in engineering problems such as PMSM design often depend on multi-objective and the objectives often conflict with each other, so single objective algorithms cannot solve these problems at the desired level.…”

Section: Introductionmentioning

confidence: 99%

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An approach based on non-dominated sorting genetic algorithm III for design of permanent magnet synchronous motor

Mutluer¹

2020

ijisae

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Today due to industrial developments, the use of electric motors has increased in all fields. The increase also preceded the development of higher-specification motors. Although weight, cogging torque, torque ripples and drive technology etc. for the working area are important, the demand for the production of highly efficient and cost-effective motors has risen further due to the energy phenomenon in the world. High-quality algorithms are needed to achieve these objectives as well, because electric motor designs are multiparameter and nonlinear engineering problems. This study aims to provide a multi-purpose intelligent design with NSGAII and NSGAIII by selecting outputs such as efficiency and cost of permanent magnet synchronous motor as an objective function. The design was intended for low speed and high torque/volume applications and the motor geometry was thus chosen as surface-mounted and double-layer concentrated winding. The optimization results were tested with a finite element program. Both methods resulted in a 3% increase in efficiency and a 37% reduction in cost versus initial design. Also, according to the results obtained, although NSGA-II and NSGA-III achieved similar results, NSGA-III results showed a more robust and stable course than NSGA-II results. The compatibility of the design optimization and the results of numerical analysis are acceptable and highly satisfactory. So, it provides outputs to demonstrate the features of an electric motor design optimization.

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Section: Multi-objective Optimization Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An approach based on non-dominated sorting genetic algorithm III for design of permanent magnet synchronous motor

Mutluer¹

2020

ijisae

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“…Literature [20] combines kriging proxy model with genetic algorithm and selects spherical function to construct Kriging surface interpolation to optimize the torque ripple of switched reluctance motor. In [21], Kriging model and genetic algorithm are combined to improve the optimization efficiency for torque ripple optimization of permanent magnet motors. However, the traditional genetic algorithm has the problems of poor local search ability.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization Design of Spherical Axial Split-Phase Permanent Maglev Flywheel Machine Based on Kriging Model

Zhu

Shao

et al. 2022

IEEE Access

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In order to improve the torque and suspension performance and reduce the torque ripple of Spherical Axial Split-phase Permanent Maglev Flywheel Machine (S-AP-MF), a multi-objective optimization design method based on Kriging model was proposed. A joint simulation model of S-AP-MF is constructed using Maxwell and Isight, and the sample data set is obtained. Then, Latin hypercube method is used to select samples evenly and hierarchically to conduct sensitivity analysis on S-AP-MF structural parameters and obtain the variables to be optimized. Based on this, to improve the model accuracy and optimization efficiency, the Kriging model and Neighborhood Cultivation Genetic Algorithm (NCGA) are used to obtain the optimal parameter set of S-AP-MF. Finally, the torque performance and levitation force characteristics before and after optimization are analyzed and compared by Finite Element Method. The results show that the torque and average levitation force of the optimized S-AP-MF are increased by 9.54% and 5.51% respectively, and the torque ripple is reduced by 27.95%, which verifies the effectiveness of the proposed method.

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“…Another one is to utilise low-energy PM material such as ferrite PMs in PM machines, which has the considerable advantage of cost [6][7][8][9][10][11]. However, although these machines adopt the spoketype PM array for obtaining the flux concentration effect [6][7][8], or the PM-assisted synchronous reluctance rotor for enhancing the reluctance torque [10], they still have low torque density [11].…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of spoke‐type, consequent‐pole and hybrid‐pole permanent magnet machines

Wang

Zhang

2020

IET Electric Power Applications

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In recent years, consequent-pole permanent magnet (CPM) machines draw much attention due to their high utilisation ratio of permanent magnet (PM) material. However, they have some disadvantages, such as the even-order harmonics of airgap flux density, which may cause asymmetric phase back-EMF and the increase of torque ripple. In this study, a novel hybrid-pole PM (HPM) machine is proposed, in which the rotor combines consequent-pole and spoke-type PM rotors. The working principle of the proposed HPM machine is analysed based on the equivalent magnetic circuit, and validated by the finite-element method. Then, the electromagnetic performance of the HPM machine is compared with those of the existing CPM and spoke-type PM machines. It is shown that the HPM machine obtains similar average torque, PM utilisation ratio, torque ripple and efficiency to the spoke-type PM machine, whilst it has a higher PM utilisation ratio and much lower torque ripple than the conventional CPM machines. Finally, these analyses are validated by the tested results of a 9-slot/6-pole HPM machine.

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Optimal Design of a Spoke-type Permanent Magnet Motor with Phase-group Concentrated-coil Windings to Minimize Torque Pulsations

Cited by 26 publications

References 9 publications

An approach based on non-dominated sorting genetic algorithm III for design of permanent magnet synchronous motor

An approach based on non-dominated sorting genetic algorithm III for design of permanent magnet synchronous motor

Multiobjective Optimization Design of Spherical Axial Split-Phase Permanent Maglev Flywheel Machine Based on Kriging Model

Comparative analysis of spoke‐type, consequent‐pole and hybrid‐pole permanent magnet machines

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