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Modeling and optimization of a novel multi-DOF electromagnetic driven spherical motion generator.
Liu, Jingmeng; Chen, Weihai; Guo, Xiaofeng; Liu, Fangliang.
Afiliação
  • Liu J; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
  • Chen W; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. Electronic address: whchen@buaa.edu.cn.
  • Guo X; School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
  • Liu F; Beihang University Library, Beijing 100191, China.
ISA Trans ; 149: 325-336, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38599928
ABSTRACT
This paper introduces a new spherical motion generator and presents a method for modeling its magnetic field and analyzing its moments. The generator employs an electromagnetic drive of a spherical motor as its driving method and utilizes a spherical parallel manipulator to execute the spherical motion. The combination of these two technologies offers several advantages, including a large workspace and high motion accuracy. The equivalent magnetizing current method is used in the magnetic field modeling and the average air-gap flux density is optimized to achieve a better magnetic field distribution, and the accuracy of the analytical model is verified by finite element simulations and experiments.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article