一种通用的故障诊断推理机制

介绍一种通用的故障诊断推理机制。应用修正的ＥＭＹＣＩＮ算法进行不精确推理计算;基于ＦＴＡ和ＦＭＥＡ建立具有很强的推理能力和良好的动态性、灵活性的推理逻辑;应用此推理机制建立一个应用实例。     

基于层次分析法和模糊综合评判的军用飞机技术风险评估

分析了技术风险的内涵和影响因素;结合我国航空项目管理中风险识别的特点,分析了模糊综合评判和层次分析法在军用飞机技术风险管理中的具体应用,给出了技术风险评估指标体系的构建原则和各指标的量化分析方法,并初步建立了新一代军用飞机技术风险的评估体系.     

布站方式对基于TDOA的干扰源定位影响分析

介绍了到达时间差(TDOA)算法的基本原理,并分析了定位存在模糊解区域和无解区域的原因.对二维不同布站条件下的模糊解区域进行仿真,得到了不同角度、不同基线长度布站方式下的模糊解区域分布,总结了布站方式对二维模糊解区域分布的影响.基于TDOA的几何精度因子(GDOP)方法分析了基线长度和布站形状对定位精度的影响,在四站三...     

多目标模糊航迹规划方法研究(英文)

在航迹规划方法中,常常需要满足多个目标要求。多目标综合体现飞行任务要求和决策者意愿,而决策者对目标的认识及对各个目标趋优满意程度的主观意愿存在模糊性,在多目标规划中如何体现这种特性,是航迹规划应该考虑的问题。基于Voronoi图形的航迹规划方法,研究多目标代价性能指标的综合问题。首先,分析了多目标性能指标建立的困难:因为各子目标代价物理意义不同,且同一子目标会受到任务、飞行环境等的影响,这使得在不同情况下,不同目标代价在相对重要性方面缺乏可比性,因而造成决策者认识上的困难,不便直观反映决策者对各个目标趋优满意程度的主观意愿,影响航迹规划效果。针对这一问题,对多目标综合性能指标函数进行模糊隶属化,建立模糊优化方法,有利于解决航迹规划多目标综合的困难。结合实际算例,验证了提出的多目标模糊优化方法的合理性。     

An intelligent control method for a large multi-parameter environmental simulation cabin

The structure and characteristics of a large multi-parameter environmental simulation cabin are introduced.Due to the diffculties of control methods and the easily damaged characteristics,control systems for the large multi-parameter environmental simulation cabin are diffcult to be controlled quickly and accurately with a classical PID algorithm.Considering the dynamic state characteristics of the environmental simulation test chamber,a lumped parameter model of the control system is established to accurately control the multiple parameters of the environmental chamber and a fuzzy control algorithm combined with expert-PID decision is introduced into the temperature,pressure,and rotation speed control systems.Both simulations and experimental results have shown that compared with classical PID control,this fuzzy-expert control method can decrease overshoot as well as enhance the capacity of anti-dynamic disturbance with robustness.It can also resolve the contradiction between rapidity and small overshoot,and is suitable for application in a large multi-parameter environmental simulation cabin control system.     

疲劳强度概率分布的统计推断

 本文就疲劳强度概率分布问题从统计角度出发,利用统计推断方法处理。通过三组较大子样的疲劳试验数据的统计分析,得出与在假定一定的疲劳寿命概率分布下由数学分析方法推导出的理论概率分布完全不同的结论。该法中疲劳强度概率分布与疲劳寿命分布没有直接关系。     

归纳推理和归纳进程

分析了归纳推理与演绎推理的区别, 给出了归纳推理的形式化规则,定义了重构和归纳进程(序列)的概念.同时还给出了一个产生归纳序列的归纳过程模式,并证明:若已知模型M的全体实例集合ε_M,则可以从任一给定的理论出发, 使用此归纳过程模式所产生的所有归纳序列都收敛于同一极限,这个极限就是模型M的全部真语句. 这说明了归纳推理规则的合理性.     

Multi-parameter decoupling and slope tracking control strategy of a large-scale high altitude environment simulation test cabin

A large-scale high altitude environment simulation test cabin was developed to accurately control temperatures and pressures encountered at high altitudes. The system was developed to provide slope-tracking dynamic control of the temperature–pressure two-parameter and overcome the control difficulties inherent to a large inertia lag link with a complex control system which is composed of turbine refrigeration device, vacuum device and liquid nitrogen cooling device. The system includes multi-parameter decoupling of the cabin itself to avoid equipment damage of air refrigeration turbine caused by improper operation. Based on analysis of the dynamic characteristics and modeling for variations in temperature, pressure and rotation speed, an intelligent controller was implemented that includes decoupling and fuzzy arithmetic combined with an expert PID controller to control test parameters by decoupling and slope tracking control strategy. The control system employed centralized management in an open industrial ethernet architecture with an industrial computer at the core. The simulation and field debugging and running results show that this method can solve the problems of a poor anti-interference performance typical for a conventional PID and overshooting that can readily damage equipment. The steady-state characteristics meet the system requirements.     

A novel intelligent adaptive control of laser-based ground thermal test

Laser heating technology is a type of potential and attractive space heat flux simulation technology, which is characterized by high heating rate, controlled spatial intensity distribution and rapid response. However, the controlled plant is nonlinear, time-varying and uncertainty when implementing the laser-based heat flux simulation. In this paper, a novel intelligent adaptive controller based on proportion–integration–differentiation(PID) type fuzzy logic is proposed to improve the performance of laser-based ground thermal test. The temperature range of thermal cycles is more than 200 K in many instances. In order to improve the adaptability of controller,output scaling factors are real time adjusted while the thermal test is underway. The initial values of scaling factors are optimized using a stochastic hybrid particle swarm optimization(H-PSO)algorithm. A validating system has been established in the laboratory. The performance of the proposed controller is evaluated through extensive experiments under different operating conditions(reference and load disturbance). The results show that the proposed adaptive controller performs remarkably better compared to the conventional PID(PID) controller and the conventional PID type fuzzy(F-PID) controller considering performance indicators of overshoot, settling time and steady state error for laser-based ground thermal test. It is a reliable tool for effective temperature control of laser-based ground thermal test.     

基于模糊逻辑的组合导引律

攻击大机动目标的组合导引律由比例项和前置角项组成,可以得到平直的末段弹道,但通常不能保持在大范围攻击情形下均有效。本文在组合导引律的基础上,设计一种新颖的模糊逻辑控制器,采用视线变化率和前置角偏差为输入变量,通过规则库嵌入专家经验,实现智能改变组合导引律中的系数。通过仿真验证,相对于组合导引律,此方法在大范围攻击情形下弹道更平直,脱靶量更小。