A new controller parameters planning strategy for rapid attitude maneuver based on genetic algorithm

作者：Lin, Zhao; Wu, Xiaowen; Yong, Hao; Yuan, Liu; Xing, Zejing

来源：Journal of Computational and Theoretical Nanoscience, 2016, 13(3): 1709-1717.

DOI：10.1166/jctn.2016.5102

• Controller parameter
• Decision variables
• Hybrid optimization
• Maneuver path
• Multi-objective optimization function
• Non-dominated Sorting
• Planning strategies
• Rapid attitude maneuvers

In some specific missions, it was difficult for spacecraft to choose the optimal controller parameters. Here we propose a novel parameters planning strategy for hybrid optimization of attitude path and controller. Firstly, a flexible spacecraft dynamic model was built, and Laplace transform was used to compute the vibration mode of flexible attachments. Secondly the impact on selecting controller parameters brought by flexible vibration was analyzed, following which a feasible plan about determining controller parameters, suppressing flexible vibration and at the same time realizing rapid attitude maneuver was proposed. We then built a multi-objective optimization function which set attitude path parameter and controller parameter as decision variables, and adopted Genetic Algorithms which are based on non-dominated sorting for calculation. Finally the selection of optimized control parameters to the given mission was realized. As shown in this paper, the proposed strategy was tested to provide a better result than traditional method on the efficiency, the precision and the stability, giving an effective basis for selecting spacecraft system control parameters.

• 出版日期2016
• 单位哈尔滨工程大学