自适应预测补偿的迭代制导方法及其应用研究

针对迭代制导完成后入轨参数或终端程序角修正问题,研究一种基于模型参考的自适应预测补偿迭代制导算法在运载火箭上的应用。该算法在经典迭代制导算法的基础上,根据预测的迭代终端程序角和飞行视加速度的参考模型,对关机点参数进行补偿,依据补偿后的终端指标重新规划飞行轨迹,进而得出满足入轨参数或终端程序角偏差修正的制导指令,提升迭代制导对入轨参数偏差或终端程序角的修正能力。此外,阐述了经典迭代制导的基本算法,概括了自适应预测补偿迭代制导算法的基本原理,并以大推力直接入轨、终端程序角大偏差以及满足终端程序角约束为例,给出相应工况的自适应预测补偿的迭代制导算法。仿真结果表明：该算法对入轨参数和终端程序角偏差具有一定的修正能力。     

目标导向的课程质量评估方法及系统实现

根据国际工程教育评估组织 ABET 将评价重点放在学生“学到了什么”的精神,本文提出了依据学生在各种场合表现出的实际能力来评价一门课程的教学质量的“以目标为导向”的方法,并实现了课程评价信息系统。该方法的评价逻辑是：从学生学到的能力评价课程目标达成度,从课程目标达成度评价专业培养水平。该方法的优点是,不需要增加额外的测试,即可以定量评价课程质量,并促使教师主动改善课程设计。     

俄罗斯空间站推进剂补加程序分析

补加程序是推进剂补加系统的关键技术之一,而目前也仅有俄罗斯有成功应用的经验.根据目前获取的资料,经过计算、仿真和论证,对俄罗斯空间站的补加系统进行了研究,分析了ATV对空间站进行推进剂补加的程序,初步得到了俄罗斯空间站推进剂补加的特点,可作为目前我国空间站方案论证期间补加程序的参考.     

Locally generalised multi-agent reinforcement learning for demand and capacity balancing with customised neural networks

Reinforcement Learning (RL) techniques are being studied to solve the Demand and Capacity Balancing (DCB) problems to fully exploit their computational performance. A locally generalised Multi-Agent Reinforcement Learning (MARL) for real-world DCB problems is proposed. The proposed method can deploy trained agents directly to unseen scenarios in a specific Air Traffic Flow Management (ATFM) region to quickly obtain a satisfactory solution. In this method, agents of all flights in a scenario form a multi-agent decision-making system based on partial observation. The trained agent with the customised neural network can be deployed directly on the corresponding flight, allowing it to solve the DCB problem jointly. A cooperation coefficient is introduced in the reward function, which is used to adjust the agent’s cooperation preference in a multi-agent system, thereby controlling the distribution of flight delay time allocation. A multi-iteration mechanism is designed for the DCB decision-making framework to deal with problems arising from non-stationarity in MARL and to ensure that all hotspots are eliminated. Experiments based on large-scale high-complexity real-world scenarios are conducted to verify the effectiveness and efficiency of the method. From a statistical point of view, it is proven that the proposed method is generalised within the scope of the flights and sectors of interest, and its optimisation performance outperforms the standard computer-assisted slot allocation and state-of-the-art RL-based DCB methods. The sensitivity analysis preliminarily reveals the effect of the cooperation coefficient on delay time allocation.     

军用飞机维修大纲修订流程研究

本文首先论述了维修大纲修订的必要性和实际状况,接着介绍了B777、Y8和某型军机的维修大纲修订情况,以及波音的维修大纲修订实施程序,最后重点阐述了如何从实际情况出发,并借鉴波音的经验,建立一套适用于我国军用飞机维修大纲修订工作的实施流程,以有效地指导该项工作,提高军用飞机的可用度,降低维修成本。