民用客机液压系统逻辑控制单元故障分析及排除

通过采用故障树的分析方法,运用故障机理分析、故障定位及故障复现的故障归零思路,分析了逻辑控制单元的设计规范及其变更,进行了新旧逻辑控制单元的对比试验,检查了逻辑控制单元与飞机的交联信号等,最终定位故障在逻辑控制单元内部元件失效,顺利排除了故障。     

可编程芯片在测控系统中的应用

分析了可编程芯片在设计测控系统中的应用，同以前的电子设计方法相比，使用可编程芯片可以大大简化测控系统电路部分的设计，并且可减小电子线路板的面积，从而使整个测试系统小型化；更重要的是由于使用了可编程芯片，一些复杂的算法可通过硬件实现，从而增强了测试系统的功能，最后给出了相关的工程实例。     

Regional modeling of the ionosphere using adaptive neuro-fuzzy inference system in Iran

In recent years, new techniques and algorithms such as Artificial Neural Networks (ANNs), Fuzzy Inference Systems (FIS) and Genetic Algorithm (GA) have been used as alternative statistical tools in modeling and forecasting issues. These methods have been extensively used in the field of geosciences and atmospheric physics. The main purpose of this paper is to combine FIS and ANNs for local modeling of the ionosphere Total Electron Content (TEC) in Iran. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is developed for TEC modeling. Also, Multi-Layer Perceptron ANN (MLP-ANN) and ANN based on Radial Base Functions (RBF) have been designed for analyzing ANFIS results. Observations of 29 Global Positioning System (GPS) stations from the Iranian Permanent GPS Network (IPGN) have been used in 3 different seasons in 2015 and 2016. These stations are located at geomagnetic low latitudes region. Out of these 29 stations, 24 stations for training and 5 stations for testing and validating were selected. The relative and absolute errors have been used to evaluate the accuracy of the proposed model. Also, the results of this paper are compared with the International Reference Ionosphere model (IRI2016). The maximum values of the average relative error for RBF, MLP-ANN, ANFIS and IRI2016 methods are 13.88%, 11.79%, 10.06%, and 18.34%, respectively. Also, the maximum values of the average absolute error for these methods are 2.38, 2.21, 1.5 and 3.36 TECU, respectively. Comparison of diurnal predicted TEC from the ANFIS, RBF, MLP-ANN and IRI2016 models with GPS-TEC revealed that the ANFIS provides more accurate predictions than the other methods in the test area.     

基于时序逻辑的复杂环境下无人机运动规划算法

本文主要考虑基于时序逻辑的无人机运动规划问题。一般地，解决该问题的算法包括两个阶段:上层综合阶段生成一条可行的离散规划;低级综合阶段结合离散任务规划设计无人机的控制输入。但是当第一阶段失败时，即线性时序逻辑(LTL)任务在当前环境中无法实现时，我们希望系统能够进行一定的调整。本文提出了一种任务重规划算法，在深入理解模型检查原理的基础上，利用初始任务自动机生成一个松弛乘积自动机，进而获取有效的离散任务规划;同时设计一个自动机的权重函数，确保该规划在最小程度上违背初始任务所提出的约束。本文提出的重规划算法解决了时序逻辑在复杂环境中无法实现的难题，扩大了时序逻辑在无人机运动规划中的应用范围，同时增加了系统的鲁棒性。     

知识表示的F-K系统

对经典知识表示系统（多系统）进行了扩充，引入一个刻划“大概知道”的模态词“Ｆ”，并建立了相应的公理系统Ｆ－Ｋ，该公理系统除包含“Ｆ”外也包含经典模态词“Ｋ”。同时，基于滤子对经典Ｋｒｉｐｋｅ框架及模型进行了扩充，从而给出了“Ｆ”的语义，并证明了该语义下Ｆ－Ｋ的完备性与可靠性。     

基于自适应模糊逻辑的活塞发动机TCU故障检测算法研究

故障分析与诊断是活塞发动机地面试车检测系统的关键功能之一,对于确保试飞安全具有重大意义。通过分析模糊逻辑系统的数学原理,研究了基于模糊逻辑的故障诊断模块分析算法,并利用MALLAB软件实现了模块基本功能,为利用模糊逻辑算法的非线性逼近能力,分析并监测发动机TCU运行状态奠定了基础。     

红外导引头模糊控制设计

为改善红外导引头的动态性能和精度，将模糊比例积分差分(PID)控制引入系统的设计，并用两个层次模糊控制实现抗干扰。可在MATLAB的FUZZY工具箱中对模糊控制器进行编辑。仿真结果表明，该方法可以提高系统的动态性能和控制精度，同时能便捷地修改系统参数。     

精确制导武器红外成像导引头控制系统研究

红外成像制导具有导引精度高、抗干扰能力强以及可进行多目标识别与跟踪等特点,目前已成为攻击型无人机、小型战术导弹等制导武器制导方式的发展方向。而红外成像导引头作为整个制导系统的重要组成部分,为了提高其控制系统的动态性能和跟踪精度,设计了一种模糊自适应PID控制器并引入到导引头控制回路中。同时,还分别采用校正网络和PID控制这些传统的改善系统性能的方法与之进行对比仿真研究,结果表明模糊自适应PID控制器较之传统方法使导引头控制系统的动态性能和跟踪精度有了明显的改善和提高。     

Mereological inheritance

In recent investigations of Spatial Reasoning, SpatialKnowledge Representation, and Geographic Information Systems, asignificant effort has been spent by many scholars of the areaabout the problem of representing properties of spatial objects bymeans of logical theories.An analogous effort has been the problem of analyzingthe qualitative relations which can be established between twospace regions. These investigations have led to a generalframework of the field known by the term ``mereo-topology'.Though both the above mentioned approaches have proved to besuccessful in the investigation of formal and practically relevantaspects of spatial objects, no attempt has been carried out in the direction of integrating the approaches and looking at the relationshipbetween a general logical theory of space and mereo-topology from an analytical point of view, in particular for exploiting thecombinatorial behaviour of such an integrated model.This paper intends to fill the gap and analyze the behaviour ofspatial formulae of a logical theory of space as objects which canbe classified based on the behaviour they exhibit with respect tothe parts and supertparts of the regions where they are true. Wename these categories of behaviourinheritance modalities.     

一种基于模糊机理模型的混事建模方法

本文提出了一种基于模糊机理模型的混合建模方法。采用模糊逻辑系统建立机理模型，RBF神经网络建立系统的补偿模型。这种方法具有建模精度高、物理意义明确以及适应范围大的特点。仿真结果进一步证实了这种方法的有效性。