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A 6-DoF Successive Convexification Powered Descent Guidance Implementation using Modified Rodrigues Parameters

机译:使用修改的Rodrigues参数,6-DOF连续凸起供电的血液血液指导实现

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This paper presents the formulation and demonstration of a 6 degree-of-freedom (DoF) free-final-time guidance algorithm which solves the canonical powered descent guidance (PDG) problem. This formulation can be quickly solved as a series of second order cone program (SOCP) sub-problems making it tractable for online implementation on real-time systems using Interior Point Method (IPM) solvers. Modified Rodrigues Parameters (MRPs) are employed in this paper, which are a minimal attitude formalism derived from quaternions. This reduces the number of optimization variables and constraints that other formalisms may require. The routine can be initialized with a dynamically inconsistent trajectory as the solution is driven to meet the nonlinear dynamics more closely with each iteration. This formulation also includes typical vehicular control, environmental, and mission geometry constraints such as thrust vector gimbal angle constraints, glide-slope constraints, and attitude constraints.
机译:本文介绍了一种自由度(DOF)自由最终时间引导算法的配方和演示,该算法解决了规范动力下降指导(PDG)问题。 该配方可以快速解决,作为一系列二阶锥形程序(SOCP)子问题,使其在使用内点方法(IPM)求解器的实时系统上的在线实现。 本文采用改进的罗德里格参数(MRPS),这是衍生自四季度的最小态度形式。 这减少了其他形式主义可能需要的优化变量和约束的数量。 可以使用动态不一致的轨迹初始化例程,因为驱动解决方案以与每次迭代更紧密地满足非线性动力学。 该配方还包括典型的车辆控制,环境和任务几何限制,例如推动向量万向角约束,滑坡限制和姿态约束。

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