Shape Optimization of the Momentum Ring Cross Section for Satellite Attitude Control Based on Magnetohydrodynamics

Authors

  • Youlin Gu School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Qinghua Liang School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Shigang Wang School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Anlei Zhou School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Chaozhen Liu Shanghai Key Laboratory of Aerospace Intelligent Control Technology, Shanghai Aerospace Control Technology Institute, Shanghai 201109, China

DOI:

https://doi.org/10.13052/2022.ACES.J.370312

Keywords:

shape optimization, cross-section, magnetohydrodynamics (MHD), satellite attitude

Abstract

Compared with the traditional actuator, the fluid momentum controller actuator based on magnetohydrodynamics (MHD) has some unique advantages and characteristics. In this paper, a method is proposed for the shape optimization of fluid momentum ring cross section. Based on the engineering situation, this article proposes a mathematical model of angular momentum that can be used for analytical calculations. Second, the two shapes obtained are unified and mathematically expressed in terms of maximum power and minimum resistance, respectively. Finally, the particle swarm algorithm is used to optimize the parameters of the proposed shape in combination with finite element method (FEM). Compared with the common rectangular section scheme, the attitude adjustment performance of fluid momentum ring can be effectively improved. Specifically, for the same area of cross section, the fluid momentum rings with the proposed shape provide the angular momentum values that exceed those of the rectangular shape by 14%-17% for the cases considered. This method avoids the huge computation of computational fluid dynamics and multidisciplinary topology optimization.

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Author Biographies

Youlin Gu, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Youlin Gu received the bachelor’s degree in mechanical engineering from Donghua University, China. He is currently working toward the Ph.D. degree with the School of Mechanical Engineering, Shanghai Jiao Tong University, China. His research focuses on optimization design of electromechanical systems, modeling and simulation of MHD, and topology optimization.

Qinghua Liang, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Qinghua Liang received the Ph.D. degree in mechanical engineering from Shanghai Jiao Tong University. Currently, he is an Associate Professor with the School of Mechanical Engineering, Shanghai Jiao Tong University. His research interests include intelligent machinery, complex electromechanical system innovative design, and machine vision.

Shigang Wang, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Shigang Wang received the Ph.D. degree in mechanical engineering from the Huazhong University of Science and Technology. He is currently a Professor with the School of Mechanical Engineering, Shanghai Jiao Tong University, China. His research activities include complex electromechanical systems, electromagnetic drive, machine vision, pattern recognition, special robots, bionic design and intelligent control, and biologic robots.

Anlei Zhou, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Anlei Zhou received the master’s degree in mechanical engineering from Shanghai Maritime University, China. He is currently working toward the Ph.D. degree with the School of Mechanical Engineering, Shanghai Jiao Tong University. His current research interests include CFD and other numerical methods in engineering.

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Published

2022-03-31

How to Cite

[1]
Y. . Gu, Q. . Liang, S. . Wang, A. . Zhou, and C. . Liu, “Shape Optimization of the Momentum Ring Cross Section for Satellite Attitude Control Based on Magnetohydrodynamics”, ACES Journal, vol. 37, no. 03, pp. 348–353, Mar. 2022.

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