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Control parameters design of spacecraft formation flying via modified biogeography-based optimization

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Abstract

For spacecraft formation flying (SFF) missions, effective control of relative motion is a critical issue. This paper investigates the problem of feedback parameters design in the trajectory tracking controller of SFF. To overcome the difficulty in manual parameters adjustment, a modified biogeography-based optimization (M-BBO) algorithm is employed by transforming the parameters tuning into an optimization problem. In the developed M-BBO, the new component is a hybrid operator, where the search mechanism of grasshopper optimization algorithm is integrated into the migration operation of biogeography-based optimization (BBO). It helps M-BBO to achieve a better balance between exploitation and exploration abilities, thereby facilitating the generation of promising candidate solutions. During the optimization process, the performance indicator is a linear weighted function that considers the tracking error and fuel consumption of the SFF controller. Simulation results show that the parameters obtained via M-BBO ensure accurate control at low cost, and comparative experiments with other versions of BBO are conducted to prove M-BBO’s merit in terms of convergence performance.

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Authors and Affiliations

  1. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai, 200240, China

    Tianfu Chen, Dexin Zhang & Xiaowei Shao

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  1. Tianfu Chen
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  2. Dexin Zhang
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  3. Xiaowei Shao
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Correspondence to Xiaowei Shao.

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Chen, T., Zhang, D. & Shao, X. Control parameters design of spacecraft formation flying via modified biogeography-based optimization. AS 3, 1–8 (2020). https://doi.org/10.1007/s42401-019-00037-7

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  • DOI: https://doi.org/10.1007/s42401-019-00037-7

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