多目标多约束组合体与飞船轨道维持优化

针对天宫二号/神舟十一号任务组合体运行与飞船返回要求，建立了升交点经度、轨道偏心率、指定时刻轨道高度及速度倾角等多目标特征参数的控制方程；根据组合体至飞船撤离准备各阶段的飞行特点，分析了近圆轨道偏心率中长期演化情况以及飞船返回双脉冲控制量随控制时间的变化规律，提出了通过两次组合体与飞船联合规划来满足不同约束的控制策略；根据撤离后飞船、天宫以及伴星的相对运动关系研究了结合规避控制的飞船双脉冲维持优化控制方案。最后依据神舟十一号任务的飞行过程，设计算例验证了该方法的有效性，具有较好的工程应用价值。     

一种脉宽数字快速电磁阀驱动电路的设计

采用强激颤振电流、维持颤振电流及占空比的控制方法,设计了一种驱动电路,使电磁阀在开占空比时强激吸合后迅速降低驱动电流,降低了电磁阀的发热量,提高了电磁阀的响应速度,从而达到电磁阀对燃油流量的精确控制.在脉宽数字快速电磁阀电路设计中使用了为数不多的贴片元器件,实现了电磁阀小型化和高可靠性驱动的控制.     

以用户为中心的飞机维护在线训练系统设计

传统CBT(Computer Based Training)软件存在着许多问题.针对这些问题,本课题提出以用户为中心的飞机维护CBT软件设计思路,开发了用户协同编辑与维护原型系统以及方便和用户交流沟通的飞机维护在线训练原型系统.     

浅谈航空器专业化维修中的组织冲突及应对策略

详细阐述了深航大修分部的组织现状，利用人为因素中的SHELL模型分析目前组织形式中存在的问题，并针对性提出有利于维修效率提升的应对策略。     

航电系统外场保障实习台的设计与研究

根据航电系统在外场通电时对操作人员的技能要求和相关设备需求,提出了研制航电系统外场保障实习台的思路和方案;构建了实习台的半实物仿真模型,设计了基于模拟操作功能的硬件电路,编制了基于虚拟仪器技术的软件流程,完成了实习台的系统集成与调试,实现了航电系统外场通电保障的模拟训练;应用结果表明,实习台功能强,可扩展性好,使用广泛,军事经济效益显著。     

Research on Maintainability Evaluation Model Based on Fuzzy Theory

分析了产品维修性影响属性,给出了维修性属性值与权重的确定方法;提出了基于相对接近度的维修性模糊评价方法。以虚拟环境下产品维修过程为研究对象,在分析产品各可更换单元的维修作业的基础上,建立了产品维修性评价模型。最后结合民机主起落架系统给出了应用实例,结果表明该模型适用于产品维修性的定性评价并且能够支持维修性并行设计。     

基于故障树的直升机维修差错分析方法的研究

根据维修差错一人的失误机理、差错的墨菲定律，以及事故链模型和JamesReason模型，提出了基于故障树的主动预先的维修差错分析方法，试图在直升机设计之中和直升机交付使用前，通过这种基于故障树的维修差错分析方法，找出设计中、使用维修及使用管理中出现的问题或维修差错，提出改进措施，防止在使用维修中出现维修差错。通过这种主动事前的预防维修差错分析方法，可以消除或减少维修差错，提高直升机的安全性。     

The influence of orbital maneuver on autonomous orbit determination of an extended satellite navigation constellation

The right ascension of the ascending node is unobservable if only the inter-satellite ranging is used for autonomous orbit determination (AOD) of an Earth navigation constellation. However, if an Earth-Moon libration point satellite is added to the Earth navigation constellation to construct an extended navigation constellation, all the orbital elements can be determined with only the inter-satellite ranging. Furthermore, the extended navigation constellation can provide navigation information for interplanetary probes. For such an extended navigation constellation, orbital control needs to be considered due to the instability of the libration-point satellite orbit. This study concerns the influence of satellite orbital maneuver on the AOD of the extended navigation constellation. An AOD method under orbital maneuver is proposed. A low thrust controller is designed to achieve libration point satellite autonomous orbit maintenance by using AOD results. A navigation constellation consisting of three GPS satellites and one libration point satellite are designed for simulation. The simulation results show that libration point satellites can achieve autonomous navigation and autonomous orbit maintenance by only using inter-satellite ranging information. The rotation drift error of the Earth navigation constellation is also suppressed.     

Aircraft air conditioning system health state estimation and prediction for predictive maintenance

The vast potential of system health monitoring and condition based maintenance on modern commercial aircraft is being realized through the innovative use of Airplane Condition Monitoring System (ACMS) data. However there are few methods addressing the issues of failure prognostics and predictive maintenance for commercial aircraft Air Conditioning System (ACS). This study developed a Bayesian failure prognostics approach using ACMS data for predictive maintenance of ACS. First, a health index characterizing the ACS health state is inferred from a multiple sensor signals using a data driven method. Then a dynamic linear model is proposed to describe the degradation process for failure prognostics. Bayesian inference formulas are carried out for degradation estimation and prediction. The developed approach is applied on a passenger aircraft fleet with ACMS data recorded for one year. The analysis of the case study shows that the developed method can produce satisfactory prognostics results, where all the ACS failure precursors are identified in advance, and the relative errors for the failure time prediction made when just entering the degradation warning stage are less than 8%. This would allow operators to proactively plan future maintenance.     

基于可靠性分析的立方星网络维护架构优化

立方星编队或星座构成分布式空间传感器网络，可提高立方星执行复杂空间任务的能力。然而立方星易发生故障，其故障时间不确定性也导致了传感器网络性能的不稳定，这凸显了对立方星网络进行在轨维护的重要性。考虑立方星传感器网络的功能维持问题，描述了一种网络维护架构，通过定期发射、在轨备份立方星以及时更换故障立方星，从而提高网络对单星随机失效事件的快速响应与恢复能力。建立了该架构的运行成本模型，包括固定成本、储存成本和短缺成本。收集整理了真实的立方星寿命数据，并使用最大化拟合优度参数估计方法得到最优立方星寿命的随机模型。采用基于蒙特卡罗仿真的遗传算法优化备用立方星的补给时刻和补给数量，在备份成本与系统性能下降所带来的损失之间进行权衡，使得系统的综合收益最优。