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Your search keyword '"Li, Yingsheng"' showing total 3 results
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3 results on '"Li, Yingsheng"'

1. An Axial-Flux Dual-Rotor Slotless Permanent Magnet Motor With Novel Equidirectional Toroidal Winding.

Author

Si, Jikai, Zhang, Tianxiang, Hu, Yihua, Gan, Chun, and Li, Yingsheng

Subjects
PERMANENT magnets, PERMANENT magnet motors, FINITE element method, TRACTION motors, ELECTROMOTIVE force, STATORS
Abstract

In this paper, a dual-rotor slotless axial-flux permanent magnet (AFPM) motor with equidirectional toroidal winding (ED-TW) is proposed and compared with the AFPM motor with traditional toroidal winding (T-TW) with the same dimensions, number of coils and poles. Different from the T-TW, only the positive sides of coils of the ED-TW are left on one side of the stator core, the return sides of the coils are all removed to the other side of the stator core. Firstly, the structure and operation principle of the two motors are introduced and analyzed. To clarify the features of the ED-TW, the synthetic electromotive force (EMF) vector and armature reaction field of the ED-TW and T-TW are studied. Secondly, the main size equations of the AFPM motors with toroidal windings are presented. Subsequently, the electromagnetic characteristics of the AFPM motors with ED-TW and T-TW are analyzed and compared based on the three-dimensional finite element method (3D-FEM). The comparison results indicate that the AFPM motor with ED-TW has superiority in torque density and efficiency. Finally, a prototype of the AFPM motor with ED-TW is manufactured and tested, which validates the feasibility of the proposed motor and the correctness of the analysis of the 3D-FEM. [ABSTRACT FROM AUTHOR]

Published
2022
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2. Grey relational analysis algorithm on weights in multi-attribute group decision-making

Author

Ke Hongfa, Li Yingsheng, and Chen Youliang

Subjects
Sequence, Ideal (set theory), business.industry, Computer science, Function (mathematics), Machine learning, computer.software_genre, Grey relational analysis, Group decision-making, Matrix (mathematics), Decision matrix, Algorithm design, Artificial intelligence, business, Algorithm, computer
Abstract

The method which combines objective weights model with subjective weights model is usually used to weigh the factors to overcome the impacts of decision-makers in the multi-attribute group decision making. Due to the incomplete decision-making information, the weights given by each expert are regarded as the uncertain grey value according to the grey system theory and a combined weights algorithm based on grey relational analysis is proposed. According to the experts' comparison judgment matrix, the weight decision matrix is gained, and the positive and the negative ideal reference sequences are constructed. Then the grey relational grade between the positive ideal reference sequence and the weight sequence of each expert and that between the negative ideal reference sequence and the weight sequence of each expert are calculated. Subsequently, the expert weights are acquired through an optimal function that maximizes the subjective decision preference of each expert. And the weights that have subjective and objective information are acquired by integrating the expert weights with the weight decision matrix. Finally, with the help of simulation example, the rationality and feasibility of the proposed method are proved.

Published
2009

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