月球轨道交会对接任务辅助预报系统设计与验证

针对月球轨道自主交会对接制导、导航与控制(GNC)系统任务特点，设计一种基于人机协同框架的月球轨道自主交会对接过程辅助预报系统.该系统包括利用机器学习方法构建交会对接安全性规则知识库和安全性辅助预报两个部分.首先，在地面半物理仿真试验环境中，对导航监视相机拍摄的图像进行特征提取和匹配，利用图像特征与交会对接偏差组成训练样本对，用决策树方法构建安全性规则知识库.然后，利用安全性规则知识库，根据交会对接飞行过程中监视相机拍摄的当前状态的图像预报交会对接后续过程的安全性，给出成功的概率.通过地面半物理实验表明，该系统能够提升飞行控制过程中的智能化水平，有效协助地面飞行控制人员进行数据监视与任务决策.

Design and Practice of an Auxiliary Predicting System#br# for Lunar Orbit Rendezvous and Docking Mission#br#

Aiming at the characteristics of the guidance, navigation and control (GNC) system of the lunar rendezvous and docking, a safety auxiliary prediction system based on the human machine collaboration frame is designed. The system includes two parts: building the rendezvous and docking safety rule knowledge base by the machine learning method, and predicting the safety by the use of the base. Firstly, in the ground semi physical simulation test environment, the features are extracted and matched, while the object is imaged by the navigation surveillance camera. And then, the matched features and rendezvous and docking bias are used to form the training samples pairs. Secondly, the safety rules knowledge base is used to predict the safety of the subsequent process rendezvous and docking, according to the image of current state, and obtain the probability of success. The semi physical experiments on the ground show that the system can improve the intelligence level in the flight control process and give effective data and monitoring support for the ground flight controllers.