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Time-Optimal Attitude Scheduling of a Spacecraft Equipped with Reaction Wheels

机译:装有反作用轮的航天器的时间最优姿态调度

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The time-optimal control problem of a spacecraft equipped with reaction wheels has been studied, in which the spacecraft is constrained to sequentially assume a set of attitudes, whose order is not specified. This attitude scheduling problem has been solved as a multiphase mixed-integer optimal control problem in which binary functions have been introduced to model the choice of the optimal sequence of target attitudes and to enforce the constraint of adopting once and only once each attitude. Given the dynamic model of the spacecraft, the initial and final attitudes, and a set of target attitudes, solving this problem consists in finding the control inputs, the sequence of attitudes with the corresponding passage times, and the resulting trajectory of the spacecraft that minimize the time of the maneuver. The multiphase mixed-integer optimal control problem has been converted into a mixed-integer nonlinear programming problem first making the unknown passage times through the target attitudes part of the state, then introducing binary variables to discretize the binary functions, and finally applying a fifth-degree Gauss-Lobatto direct collocation method to tackle the dynamic constraints. The resulting problem has been solved using a nonlinear programming-based branch-and-bound algorithm.
机译:研究了装有反作用轮的航天器的时间最优控制问题,在该问题中,航天器被约束为顺序地采取一组姿态,其姿态未指定。该姿态调度问题已经解决为多阶段混合整数最优控制问题,其中引入了二元函数以对目标姿态的最佳顺序的选择进行建模,并强制采用每个姿态只采用一次的约束。给定航天器的动力学模型,初始姿态和最终姿态以及一组目标姿态,解决此问题的方法是找到控制输入,姿态序列与相应的通过时间以及最终使航天器轨迹最小化的轨迹演习的时间。多相混合整数最优控制问题已转化为混合整数非线性规划问题,首先使状态的目标姿态部分通过未知的传递时间,然后引入二进制变量离散化二进制函数,最后应用第五度高斯-洛巴托直接配置方法来解决动态约束。使用基于非线性编程的分支定界算法已解决了所产生的问题。

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