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Line-of-sight nonlinear model predictive control for autonomous rendezvous in elliptical orbit

机译：椭圆轨道自主交会的视线非线性模型预测控制

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The paper investigates the trajectory planning and control of autonomous spacecraft rendezvous in the orbital plane with line-of-sight dynamics. The control problem, based on nonlinear model predictive control, is formulated in terms of line-of-sight range and azimuth angle. The state feedback with measurement uncertainties is introduced to form a closed-loop optimal control problem by integration of receding horizon strategy. Furthermore, the control input increment instead of total control input is considered in the cost function to generate a smooth transient response. The formulated nonlinear optimal control problem is then transformed into convex quadratic programming problems over the predictive horizon, leading to a computationally efficient algorithm implementable for spacecraft. The numerical results show that the newly proposed line-of-sight nonlinear model predictive control scheme is able to effectively generate optimized approach trajectories with satisfactory control accuracy and the proposed method is insensitive to the measurement uncertainties. (C) 2017 Elsevier Masson SAS. All rights reserved.
机译：本文利用视线动力学研究了在轨道平面内会合的自主航天器的轨迹规划和控制。根据视距范围和方位角，提出了基于非线性模型预测控制的控制问题。引入具有测量不确定性的状态反馈，通过后退水平策略的集成来形成闭环最优控制问题。此外，在成本函数中考虑使用控制输入增量而不是总控制输入来生成平滑的瞬态响应。然后，将制定的非线性最优控制问题转换为预测范围内的凸二次规划问题，从而得出可用于航天器的高效计算算法。数值结果表明，新提出的视线非线性模型预测控制方案能够有效地产生具有满意控制精度的优化进近轨迹，并且该方法对测量不确定度不敏感。 （C）2017 Elsevier Masson SAS。版权所有。

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