空间机器人主从遥操作的自抗扰控制

目前基于模型的控制方法是空间机器人遥操作控制的主流方法,但该方法不可避免地会引入运动的累积误差,甚至造成控制失稳。针对这一问题,基于自抗扰控制方法为空间机器人主从遥操作设计了一类单关节控制器,并采用计算机仿真方法研究了其基本性能,结果表明所设计的自抗扰控制器能够实现稳定的遥操作控制,且具有良好的抗扰性和鲁棒性。特别是由于自抗扰控制方法不依赖于机器人的数学模型,因此十分适合作为现行基于模型控制的有益补充。     

技术验证在航空发动机研制中的作用

简要介绍了国外航空发动机研制的技术验证情况，分析了技术验证的目的，作用和技术特点，提出了实施技术验证计划中应注意的问题，并对验证计划的整体规划，关键技术分解，设计体系的继承和发展，部件和发动机不同验证阶段的侧重点等提出了建议。     

DERA的核心压气机发展验证计划

对DERA的核心压气机发展验证计划作了简要介绍,重点围绕核心压气机设计研制思想、方法和设计研究体系的发展验证,分析和说明了已取得的各项进展。最后对这一研究计划的意义进行了分析和讨论。     

Enhanced ADS-B Research

Automatic dependent surveillance-broadcast (ADS-B) is gaining acceptance around the world as the next-generation surveillance technology. It can provide surveillance to air traffic controllers to support today's procedures as well as surveillance in the cockpit to support air-to-air applications. Pilots and ground personnel have begun to benefit from this technology but further benefits from technological improvements can still be realized. These improvements include security, increased data capacity, and advanced applications (4D trajectory and data exchange). To this end research is currently being performed by Sensis Corporation in cooperation with NASA Glenn research center to provide enhancements to the ADS-B UAT (universal access transceiver) data link. The research goal is to encourage user acceptance by improving upon existing capability and usability along with providing a roadmap and demonstrations of future data link capability     

A policy iteration method for improving robot assembly trajectory efficiency

Bolt assembly by robots is a vital and difficult task for replacing astronauts in extra-vehicular activities (EVA), but the trajectory efficiency still needs to be improved during the wrench insertion into hex hole of bolt. In this paper, a policy iteration method based on reinforcement learning (RL) is proposed, by which the problem of trajectory efficiency improvement is constructed as an issue of RL-based objective optimization. Firstly, the projection relation between raw data and state-action space is established, and then a policy iteration initialization method is designed based on the projection to provide the initialization policy for iteration. Policy iteration based on the protective policy is applied to continuously evaluating and optimizing the action-value function of all state-action pairs till the convergence is obtained. To verify the feasibility and effectiveness of the proposed method, a noncontact demonstration experiment with human supervision is performed. Experimental results show that the initialization policy and the generated policy can be obtained by the policy iteration method in a limited number of demonstrations. A comparison between the experiments with two different assembly tolerances shows that the convergent generated policy possesses higher trajectory efficiency than the conservative one. In addition, this method can ensure safety during the training process and improve utilization efficiency of demonstration data.     

航空维修差错的研究

从航空维修差错带来的重大危害出发,提出航空维修差错的定义及基本特征;从人与硬件、人与软件、人与环境之间的关系入手,深入分析航空维修差错的几种模式,重点研究了最活跃、最突出的人为差错模式,并通过实际应用指出预防各种差错模式的方法和措施,有利于加强航空维修工作,提高维修工作的效率和质量,保证飞行的安全性.     

Reactive control as a substrate for telerobotic systems

Reactive control, a recently emerged paradigm for guiding robots in unstructured and dynamic environments, and related work are reviewed. Pertinent telerobotics research for intelligent navigation is briefly surveyed. A scheme-based reactive control system that allows teleoperators to direct a mobile platform without undue concern for local obstacle avoidance is described. By using an analog of the potential field methodology, repulsive forces are constructed around nearby obstacles, allowing the robot to avoid them and enabling the telerobot operator to concentrate on the more global aspects of the mission. The structure for this paradigm enables real-time computation. The principles are extendible to manipulator operations. Results of robot simulation and experiments that demonstrate the concepts described are reported     

Systems integration of the 777 airplane information managementsystem (AIMS)

The systems integration of the 777 Airplane Information Management System (AIMS), both within the AIMS system and with the other systems on the airplane, represented the most complex system integration effort ever undertaken at Honeywell Air Transport Systems Division. The technological innovations in the AIMS design, coupled with an aggressive program schedule were major factors in the AIMS challenge. Honeywell and Boeing had to work closely together to complete the design and development of AIMS in a time frame that supported the 777 Early ETOPS goal. With teams from the two companies working as one unit, redundant activities were eliminated, technical and program problems were identified and solved rapidly, and schedule time was saved by both teams helping with tasks that were traditionally considered to be the other team's job     

知识作业的内涵辨析与界定

借鉴泰勒对工作（task）的定义，结合现代认知科学信息加工、问题解决等理论，在分析比较知识作业与操作作业、知识作业与脑力劳动以及知识作业与问题解决的基础上，适应知识经济时代生产率提高的要求，从管理工程与工效、信息加工、问题解决三个角度给出知识作业的内涵，分别为：知识作业是“一连串的动作”，心智操作是知识作业过程的“动素”；知识作业是人脑的信息加工和计算过程，心智操作是知识作业的“算法”；知识作业是根据作业目标所确定的心智操作序列，包括结果的规范化输出。     

航空武器装备顶层论证技术发展现状与趋势

航空武器装备顶层论证是航空武器装备论证的重要内容,是航空武器装备发展的顶层设计与型号发展的先期论证。开展航空武器装备顶层论证,是实现航空武器装备体系对抗的需要,也是航空武器装备由跟踪发展向自主创新跨越的需要。分析了航空武器装备顶层论证技术面临的挑战,回顾了航空武器装备顶层论证技术从产生到逐步完善的发展历程,剖析了航空武器装备顶层论证当前面临的技术难点与可能的应对策略,探讨了航空武器装备顶层论证技术当前及今后一个时期的研究重点与发展趋势。     

新高考下影响西北工业大学航空航天类生源质量因素及策略

高校肩负着服务国家战略需求和国民经济发展的使命,为各领域培养和输送高层次人才。高校的人才培养工作至关重要,而招生生源质量对人才培养有着重要影响,关系到人才培养的目标和质量。近年来,随着新高考改革,高校的本科招生工作面临巨大挑战和机遇。本文以西北工业大学航空航天类本科生源为研究对象,结合近年来学校的招生政策和录取数据,从学校宣传、社会实践、地方政策三个方面分析影响学校航空航 天类生源质量的因素,通过数据分析,总结出大力开展高质量招生宣传是其关键影响因素,并围绕招生宣传工作提出相关对策。     

基于定期维护的产品维修策略研究

 维护是保持产品技术状态、降低失效发生的重要手段。通过分析维护对产品技术状态和失效变化规律的影响,利用复合Poisson过程描述了产品的维护效果,得到了定期维护条件下产品的寿命分布规律。在此基础上,提出了一种定期维护与视情维修相结合的维修策略,通过优化该维修策略下的产品维修费用,给出了最优的定期维护周期和预防性维修阈值。通过算例分析,表明该维修策略可以有效延长产品的维修间隔,从而大大减少产品全寿命期间的维修次数,产品在全寿命周期内的维修费用也得到了有效降低。     

Radioisotope detection and identification at high speeds using passive sensors

A network of radiation sensors for the protection of a military base against radiological/nuclear threats has been integrated in a testbed. Two key subsystems of this network are the array of sensitive radiation detectors and the subsystem for notifying the operators of radiation events. The alarm/alert notification subsystem automatically issues notifications to the command post in real-time. The resulting reporting to the command post appears to be adequate for non-technical operational personnel. The CONOPS for the protection system relies on the sensitive detection and identification of all radioactive sources well before the transporting vehicles reach the base gates. This is a unique feature of this protection system. Discriminating sodium-iodide detectors, in conjunction with plastic scintillators and neutron detectors comprise a high-performance detection subsystem. The use of various correlation techniques has permitted the demonstration of the detection of source strengths of tens of /spl mu/Ci moving at highway speeds and at several meters separation. A companion algorithm identifies the detected radioisotope when sufficient counts are available.     

Real-time expert systems for advanced power control (a statusupdate) [aerospace power system testbed]

The most recent developments in the Boeing Aerospace Autonomous Power System (APS) testbed are presented. The APS testbed is a 28-VDC system with 3-kW capability, assembled for use in developing improved control, techniques for aerospace electrical power systems. The main emphasis is on the development of a sophisticated programming environment to control concurrent execution of multiple autonomous algorithms coupled with a continuous input/output data flow. The integration of high-level control algorithms used for battery charge control into a real-time execution environment is discussed. This includes methods that allow several functions to respond to real-time input, affect/maintain expert system (shared) memory, and control the electrical power system configuration. Sophisticated schemes for scheduling these expert system control functions are required to allow real-time multitasking     

Performance deterioration modeling and optimal preventive maintenance strategy under scheduled servicing subject to mission time

Servicing is applied periodically in practice with the aim of restoring the system state and prolonging the lifetime. It is generally seen as an imperfect maintenance action which has a chief influence on the maintenance strategy. In order to model the maintenance effect of servicing, this study analyzes the deterioration characteristics of system under scheduled servicing. And then the deterioration model is established from the failure mechanism by compound Poisson process. On the basis of the system damage value and failure mechanism, the failure rate refresh factor is proposed to describe the maintenance effect of servicing. A maintenance strategy is developed which combines the benefits of scheduled servicing and preventive maintenance. Then the optimization model is given to determine the optimal servicing period and preventive maintenance time, with an objective to minimize the system expected life-cycle cost per unit time and a constraint on system survival probability for the duration of mission time. Subject to mission time, it can control the ability of accomplishing the mission at any time so as to ensure the high dependability. An example of water pump rotor relating to scheduled servicing is introduced to illustrate the failure rate refresh factor and the proposed maintenance strategy. Compared with traditional methods, the numerical results show that the failure rate refresh factor can describe the maintenance effect of servicing more intuitively and objectively. It also demonstrates that this maintenance strategy can prolong the lifetime, reduce the total lifetime maintenance cost and guarantee the dependability of system.     

机载计算机ATE计量校准软件的研究与设计

全面有效地计量校准军用ATE,对保证其正确性有效性非常重要.设计开发ATE计量校准程序,可以实现ATE自动化整体原位校准,提高计量保障效率和测试质量.介绍了机栽计算机ATE计量校准软件的系统结构,重点讨论了计量校准程序结构和面向信号的程序开发方法,最后描述了计量校准程序流程和实现方法.     

Leasecraft: An Innovative Space Vehicle

The Leasecraft system is an innovative means to provide a permanent mobile platform in low Earth orbit and the related launch, integration, test, operation, and in-orbit servicing for payloads of industrial and government users. The Leasecraft system is being funded and developed by Fairchild Industries and furthers the industrialization of space with its significant business potential. The technology and techniques underlying this venture are derived from the shuttle compatible multimission modular spacecraft (presently used for the NASA solar maximum mission and Landsat-D/D' mission) and the upcoming demonstration of shuttle repair to be performed on the solar maximum satellite in the first quarter of 1984. Leasecraft can be identified as a system, comprising a low orbit space platform, an operations control center, user accommodations, and services such as payload interfaces, documentation, and ground support equipment and procedures. The combination of these elements facilitates the use of the space environment by both the space and nonspace oriented user. Early potential applications of Leasecraft include the processing of pharmaceuticals and materials, satellite-aided search and rescue, data collection, and support of NASA's astrophysics programs. Initial assessments made concerning the benefits to users and the cost of providing these benefits indicates that Leasecraft can provide needed services at very competitive rates. The leasing arrangement is cost effective as compared with present spacecraft platform development and cost assessment techniques.     

航空动力发展的历史性机遇

从航空发动机的诞生到最先进的航空动力研制计划的实施,较详尽地分析了世界航空动力的发展态势;从军用和民用2方面论述了航空发动机在国民经济中的重要地位;总结了中国航空发动机研制水平与世界先进水平存在较大差距的原因,展望了中国动力发展的历史性机遇。     

A hybrid genetic approach for airborne sensor vehicle routing in real-time reconnaissance missions

Past initiatives to address surveillance and reconnaissance mission planning mainly focused on low-level control aspects such as real-time path planning and collision avoidance algorithms in limited environment. However, few efforts have been spent on high-level real-time task allocation. It is believed that automated decision capabilities supporting real-time resource allocation for sensor control and interactions might significantly reduce user workload, focusing attention on alternate tasks and objectives while assigning hard computational tasks to artificial agents. In this paper, we propose a new hybrid genetic algorithm to solve the dynamic vehicle routing problem with time windows, in which a group of airborne sensors are engaged in a reconnaissance mission evolving in a dynamic uncertain environment involving known and unknown targets/threats. In that context, visiting a target may consist in carrying out a collection of subtasks such as search, detect, recognize and confirm suspected targets, discover and confirm new ones. The approach consists in concurrently evolving two populations of solutions to minimize total travel time and temporal constraint violation using genetic operators combining variations of key concepts inspired from routing techniques and search strategies. A least commitment principle in servicing scheduled customers is also exploited to potentially improve solution quality.