| Citation: | HUA Bing, SUN Shenggang, WU Yunhua, et al. Path planning method for spacecraft formation reconfiguration based on CGAPIO[J]. Journal of Beijing University of Aeronautics and Astronautics, 2021, 47(2): 223-230. doi: 10.13700/j.bh.1001-5965.2020.0277(in Chinese)
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Aimed at the path planning problem of spacecraft formation reconfiguration, an Adaptive Pigeon-Inspired Optimization algorithm based on Chaos initialization and Gaussian disturbance (CGAPIO)is proposed.In order to make the initial value of the pigeons more diverse and uniform, the Tent Map chaotic model is used to initialize the pigeons. In the map and compass operator, in order to improve the global search ability, adaptive weight factors and learning factors are introduced to update the individual's position and speed; in the landmark operator, in order to avoid the algorithm falling into the local optimum, the Gaussian disturbance is added to the center of the pigeon population.Simulation experiment results show that the CGAPIO significantly improves the global search ability and avoids the local optimum. The planned path is smoother and has lower collision probability of each spacecraft. The total fuel consumed by the formation reconfiguration is significantly reduced by 12% at least compared with the basic pigeon-inspired optimization algorithm and particle swarm optimization algorithm.
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