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Spacecraft Attitude Control under Constrained Zones via Quadratically Constrained Quadratic Programming

机译:二次约束二次规划在约束区域内的航天器姿态控制

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This paper examines an optimal spacecraft attitude control problem in the presence of complicated attitude forbidden zones. The objective is to design an optimal reorientation trajectory for a rigid body spacecraft under constraints, which is originally formulated as a nonlinear programming problem. The attitude forbidden zones are considered to prevent the light-sensitive instruments operated on-board from exposure to bright light while the mandatory zone to keep the communication instrument in certain zones to transmit and receive signals. When unit quaternions are used to represent the attitude of spacecraft, the dynamics and constraints are formulated as quadratic functions. By discretizing the reorientation trajectory into discrete nodes, the optimal attitude control problem can be formulated as general quadratically constrained quadratic programming (QCQP). Due to nonconvexity of general QCQP problems, the traditional semidefinite relaxation method can only obtain a bound on the optimal solution. In this paper, we proposed an iterative rank minimization approach to gradually reduce the gap between the bound and the optimal solution and will finally converges to the optima. Simulation results are presented to demonstrate the feasibility of proposed algorithm.
机译:本文研究了存在复杂姿态禁止区域的最优航天器姿态控制问题。目的是为约束下的刚体航天器设计最佳的重新定向轨迹,该轨迹最初被公式化为非线性规划问题。禁止姿势区被认为是防止机载操作的光敏仪器暴露在强光下,而强制区则是将通信仪器保持在某些区域内以发送和接收信号的强制区。当使用单元四元数表示航天器的姿态时,动力学和约束条件被表述为二次函数。通过将重新定向轨迹离散化为离散节点,可以将最佳姿态控制问题表述为一般的二次约束二次规划(QCQP)。由于一般QCQP问题的不凸性,传统的半定松弛方法只能获得最优解的界线。在本文中,我们提出了一种迭代秩最小化方法,以逐渐减小边界与最优解之间的差距,并最终收敛到最优解。仿真结果表明了该算法的可行性。

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