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

机译:基于改进的生物地理学优化的航天器编队飞行控制参数设计

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摘要

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.
机译:对于航天器编队飞行(SFF)任务,有效控制相对运动是一个关键问题。本文研究了SFF轨迹跟踪控制器中的反馈参数设计问题。为了克服手动参数调整的困难,通过将参数调整转换为优化问题,采用了改进的基于生物地理的优化(M-BBO)算法。在已开发的M-BBO中,新组件是一个混合算子,其中蚱hopper优化算法的搜索机制已集成到基于生物地理的优化(BBO)的迁移操作中。它帮助M-BBO在开发能力和勘探能力之间实现更好的平衡,从而促进了有希望的候选解决方案的产生。在优化过程中,性能指标是线性加权函数,它考虑了SFF控制器的跟踪误差和燃油消耗。仿真结果表明,通过M-BBO获得的参数确保了低成本的精确控制,并且与其他版本的BBO进行了对比实验,证明了M-BBO在收敛性能方面的优点。

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