• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2025, Vol. 61 ›› Issue (21): 259-273.doi: 10.3901/JME.2025.21.259

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Multi-objective Optimization of Drive Configuration for Large-scale Space Planar Deployable Mechanisms

MA Ying1,2, LI Tuanjie1,2, ZENG Zijie1,2, ZHENG Shikun2,3, ZHAO Jiang3, WANG Yizhe3,4   

  1. 1. State Key Laboratory of Electromechanical Integrated Manufacturing of High-Performance Electronic Equipments, Xidian University, Xi'an 710071;
    2. School of Mechano-Electronic Engineering, Xidian University, Xi'an 710071;
    3. Xi'an Institute of Space Ratio Technology, Xi'an 710100;
    4. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049
  • Received:2025-03-03 Revised:2025-06-24 Published:2025-12-27

Abstract: Large-scale space planar deployable mechanisms have the characteristics of multiple degrees of freedom and complex dynamic responses. The dynamic responses are highly coupled with the drive configuration, which makes it difficult to directly calculate the appropriate drive parameters in engineering. At present, the research on the optimization of the drive configuration of planar mechanisms considering nonlinear factors such as joint friction, contact, collision, and dynamic effect of locking component is not sufficient. This research proposes a multi-objective optimization method for the drive configuration of large-scale space planar mechanisms. First, the Newton-Euler method is used to establish the dynamic model of the mechanism by combining the screw theory and the Lie group framework description. The influence of nonlinear factors such as hinge friction, panel contact and collision, and locking component is considered. The possible panel collision during the deployment of the mechanism is described based on the impulse momentum equation. The accuracy of the established dynamic model is verified by comparing with the simulation results of multi-body dynamics software. Second, a multi-objective optimization model of drive configuration is constructed with the optimization objectives of minimizing the impact force, motion envelope and panel strain during mechanism deploying. The multi-objective genetic algorithm is used to coordinately optimize the drive torsion spring stiffness and preload angle. A set of Pareto optimal solutions are obtained. The optimization results are substituted into ADAMS for simulation. The comparison of the results shows that the optimized drive configuration reduces the panel contact during the deployment of the mechanism, while reducing the impact force and motion envelope. This research has certain theoretical significance and engineering application value for ensuring the reliable, precise and stable deployment of large-scale planar mechanisms on orbit.

Key words: space planar deployable mechanism, Newton-Euler formulation, dynamic response, multi-objective optimization

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