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Model predictive control system design and implementation for spacecraft rendezvous

机译:航天器交会模型预测控制系统设计与实现

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摘要

This paper presents the design and implementation of a model predictive control (MPC) system to guide and control a chasing spacecraft during rendezvous with a passive target spacecraft in an elliptical or circular orbit, from the point of target detection all the way to capture. To achieve an efficient system design, the rendezvous manoeuvre has been partitioned into three main phases based on the range of operation, plus a collision-avoidance manoeuvre to be used in event of a fault. Each has its own associated MPC controller. Linear time-varying models are used to enable trajectory predictions in elliptical orbits, whilst a variable prediction horizon is used to achieve finite-time completion of manoeuvres, and a 1-norm cost on velocity change minimises propellant consumption. Constraints are imposed to ensure that trajectories do not collide with the target. A key feature of the design is the implementation of non-convex constraints as switched convex constraints, enabling the use of convex linear and quadratic programming. The system is implemented using commercial-off-the-shelf tools with deployment using automatic code generation in mind, and validated by closed-loop simulation. A significant reduction in total propellant consumption in comparison with a baseline benchmark solution is observed.
机译:本文提出了一种模型预测控制(MPC)系统的设计和实现,该系统将从目标检测一直捕获到目标,从而在椭圆形或圆形轨道与被动目标航天器会合期间引导和控制追赶航天器。为了实现有效的系统设计,根据操作范围将交会机动划分为三个主要阶段,此外还要在发生故障时使用防撞机动。每个都有其自己关联的MPC控制器。线性时变模型用于实现椭圆轨道的轨迹预测,而可变预测范围用于实现机动的有限时间完成,并且速度变化的1-norm成本可最大程度地减少推进剂的消耗。施加约束以确保轨迹不会与目标碰撞。该设计的关键特征是将非凸约束实现为切换凸约束,从而可以使用凸线性和二次编程。该系统使用现成的商用工具实施,并考虑到部署时使用自动代码生成,并通过闭环仿真进行了验证。观察到与基准基准解决方案相比,推进剂总消耗量显着减少。

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