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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Optimal Tracking Guidance for Aeroassisted Spacecraft Reconnaissance Mission Based on Receding Horizon Control
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Optimal Tracking Guidance for Aeroassisted Spacecraft Reconnaissance Mission Based on Receding Horizon Control

机译：基于后视控制的航空航天侦察任务最优跟踪制导

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摘要

This paper focuses on the application of model predictive control (MPC) for the spacecraft trajectory tracking problems. The motivation of the use of MPC, also known as receding horizon control, relies on its ability in dealing with control, state, and path constraints that naturally arise in practical trajectory planning problems. Two different MPC schemes are constructed to solve the reconnaissance trajectory tracking problem. Since the MPC solves the online optimal control problems at each sampling instant, the computational cost associated with it can be high. In order to decrease the computational demand due to the optimization process, a newly proposed two-nested gradient method is used and embedded in the two MPC schemes. Simulation results are provided to illustrate the effectiveness and feasibility of the two MPC tracking algorithms combined with the improved optimization technique.
机译：本文着重于模型预测控制（MPC）在航天器轨迹跟踪问题中的应用。使用MPC的动机（也称为后视控制）依赖于其处理实际轨迹规划问题中自然产生的控制，状态和路径约束的能力。构造了两种不同的MPC方案来解决侦察轨迹跟踪问题。由于MPC在每个采样时刻都解决了在线最优控制问题，因此与之相关的计算成本可能很高。为了减少由于优化过程而产生的计算需求，使用了一种新提出的两嵌套梯度法并将其嵌入两个MPC方案中。仿真结果提供了两种MPC跟踪算法与改进的优化技术相结合的有效性和可行性。

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