电控机械自动变速器的故障自诊断和容错控制

根据电控机械式自动变速器系统的特点，提出了系统故障自诊断和容错控制的设计原则，分析了系统中已发生和潜在的主要故障现象及原因，给出了系统的故障模型及故障诊断方法，并对一些关键故障进行了容错控制设计。汽车道路试验证明该方法是行之有效的且非常实用。     

用容错控制技术提高微机保护系统的可靠性

在介绍容错控制技术基本理论的基础上,将容错控制技术应用到微机保护系统中,提出微机保护系统中应用容错控制技术的基本准则及常用方法.在分析一些常见故障的容错控制方案的基础上,重点分析了针对微机保护系统传感器故障的容错控制,分析了其故障检测及容错的工作原理.以牵引供电系统的馈线保护为例,介绍了容错控制技术在该保护系统中的应用方法.采用容错控制技术为提高微机保护装置的可靠性提供了一条新的途径.     

线性定常系统的一种容错控制新方法

当控制系统的参数发生跳变故障时，系统的性能往往会恶化，甚至会引起系统不稳定。本文讨论了当线性定常系统出现参数跳变故障时的一种容错控制方法。故障检测采用神经网络实现，而容错控制器则采用控制器重构方式设计。仿真结果表明该方法是有效的。     

煤炭码头自动化运输系统容错控制方法

为了解决煤炭码头自动化运输系统对控制的可靠性和安全性要求,提出了一种容错控制方法。运用径向基函数神经网络构造故障诊断器,通过容错故障范例检索,建立了从故障诊断到控制律重构之间的映射关系,实施运输系统的控制律实时重构。应用结果表明:所提出的容错控制方法明显提高了煤炭码头自动化运输系统的技术性能和安全可靠性,系统的各类故障的识别率大于97%,各类故障的误诊率小于1%,系统的有效度由原来的90%提高到98%以上。     

气动AMT故障容错系统的研究

根据气动AMT系统的特点,采用基于模型的设计方法,在MATLAB/SIMULINK软件环境下,运用Stateflow逻辑系统建模工具建立了AMT系统的故障容错系统模型,从而确保AMT系统在出现传感器、执行机构和TCU等故障时能够采取有效的容错措施,保证故障车辆跛行回家。大量试验表明,该方法是行之有效且非常实用的。     

一种新的容错控制方法

本文提出了一种新的容错控制方法，故障检测由神经网络构成，而容错控制器则采用模糊逻辑进行设计。该方法对难于精确建模的对象和过程特别适用，且也能在一定程度上适用于非线性对象，仿真结果表明了该方法的有效性。     

高速列车的自适应容错跟踪控制

针对执行器故障下高速列车的速度和位移跟踪控制问题,考虑模型参数的不确定性,引入自适应控制技术,设计了列车的自适应容错跟踪控制器.该控制器不依赖于列车模型参数的先验知识,不需要故障检测与诊断设备,可以有效克服列车模型参数未知以及执行器故障的影响,实现执行器故障下高速列车对目标速度和位移曲线的精确跟踪.基于Lyapunov稳定性理论证明了闭环系统的稳定性.仿真结果说明该控制器具有良好的容错跟踪控制能力.     

基于光反馈的信号灯故障检测系统研究

针对传统信号控制器的信号灯故障检测不准确的问题而设计的信号灯终端光反馈故障检测系统,主要采用信号灯终端光反馈、光纤传输和光电转换技术,将信号灯的输出状态直接反馈到信号控制器,实现对信号灯故障的可靠检测。通过信号控制器对故障信号进行处理,并利用数字化传送,具有纠错、容错的功能,实现了对信号灯运行状态的准确、可靠检测及控制。     

用LMI方法设计不确定关联时滞大系统H∞容错控制器

针对关联项具有N×N个任意未知常时滞的不确定线性连续大系统,在执行器失效的情况下,提出了一种分散的鲁棒H∞容错控制器的设计方法,通过假设可能失效执行器的输出信号为能量有界的干扰输入信号,不确定关联时滞大系统的容错控制问题转化为分散的鲁棒H∞控制问题.控制器可以通过解线性矩阵不等式给出,因而具有数值易解性.最后用一个数值例子验证了该设计方法的有效性.     

列车超速防护系统的自诊断研究

针对系统分布热备冗余容错结构的特点，提出了对整个系统进行各种故障自诊断的方法，包括工机时的上电自诊断、系统工作中的动态生诊断、现场运用中维护时详细的静态自诊断和功能自诊断、整个系统通信网的自诊断及系统偶然故障后立即恢复的方法等，并给出了系统进行各种自诊断的测试代价的估计值。     

机械自动变速器机械故障诊断决策研究

针对电控自动机械变速器在可靠性试验中出现的故障,分析原因,对故障诊断决策方法展开研究,提出完善自诊断系统的可行方案,采取相应改进措施,实际验证系统可靠性得到提高。     

An Innovative On-Board Computer for Space Robot

In this paper an on-board computer system for the first Chinese Intelligent Space Robotic System was presented. A fault tolerance design on on-board computer （OBC） was proposed that allows commercial-off-the-shelf （COTS） devices to be incorporated into dual processing modules of on-board computer. The processing module is composed of 32-bit ARM RISC processor and other COTS devices. This innovative approach deeply relies on light weight/low cost equipment development using commercial miniaturized parts and non-space qualified technologies. As well as, a set of fault handling mechanisms was implemented in the computer system. The on-board software was organized around a set of processes that communicate between each other through a routing process. The qualification experiment shows that the fault tolerant on-board computer has excellent data processing capability and is enough to meet the demanding of the extremely tight constraints on mass, volume, power consumption and space environmental conditions.     

基于FTA的电喷汽油机燃烧故障分析

故障树是一种倒置的图形演绎分析方法.笔者在文中建立了电喷汽油发动机燃烧故障树模型,确定出引发系统故障原因的各种可能的组合方式和系统发生故障的概率.为进一步研究实用的电喷汽油机故障自诊断系统提供了一种可行方法.     

Design and implementation of an expert system for remote fault diagnosis in ship lift

In this paper an expert system for remote fault diagnosis in the ship lift was developed by analysis of the fault tree and combination with VPN. The fault tree was constructed based on the operation condition of the ship lift. The diagnosis model was constructed by hierarchical classification of the fault tree structu~, and the inference mechanism was given. Logical structure of the fault diagnosis in the ship lift was proposed. The implementation of the expert system for remote fault diagnosis in the ship lift was discussed, and the expert system developed was realized on the VPN virtual network. The system was applied to the Gaobaozhou ship lift project, and it ran successfully.     

基于数据的轨道电路故障诊断的混合算法

提出一种基于数据的神经网络混合算法故障诊断网络,用于轨道电路的故障诊断.考虑铁路信号需求,设计出符合神经网络训练快速性和有效性要求的BP-LM-PSO-GA混合算法,就是将轨道电路复杂网络分解设计为许多小的神经网络组态,通过综合这些小的神经网络诊断结论,得出最终结果,以解决单独设计神经网络带来的运算量问题;然后以广泛使用的ZPW-2000A型轨道电路为例,验证了该算法网络训练的快速性及故障诊断的有效性.最后给出了该诊断网络对轨道电路的诊断步骤.仿真结果表明该诊断网络具有可行性和有效性,为轨道电路故障诊断的应用提出了一条新途径.     

A novel approach to design robust fault detection filter for networked control systems

In this paper, an approach for designing robust fault detection filter (RFDF) of networked control systems (NCSs) with unknown inputs is studied. The design aims at implementing the optimal trade-off between robustness of unknown inputs (including the item produced by networked-induced delay) and sensitivity of fault. The key design issue is to introduce an optimal fault detection filter based on NCSs with the control law compensation as the reference residual model of NCSs and to formulate the RFDF design as a model-matching problem. By applying H _∞ optimization technique, linear matrix inequality (LMI) approach is given to solve the model-matching problem. The validity of the proposed approach is shown by a numerical example.      

Bias current influence on the characteristic of the magnetic-controlled switcher type fault current limiter

A novel magnetic-controlled switcher type fault current limiter (FCL) for high voltage electric network is presented. The current limiting principle of the FCL and the bias current influence on the characteristic of the FCL are discussed. The experiments on the 220 V/50 A test model show that the FCL can limit the fault current swiftly and effectively. Under the normal state, the bias current adjustment can change the FCL voltage loss; under the fault state, the steady fault current can be easily adjusted to the preset level by bias current regulating. The experimental result is in accordance with the principle analysis and the FCL has the advantages of flexible control strategy and simple and reliable structure. Foundation item: the National Basic Research Program (973) of China (No. 2005CB221505) and the Research Fund for Doctoral Program of High Education of China (No. 20050248058)     

水泥混凝土路面断板的防治

从设计、材料、施工几方面具体论述了水泥混凝土的断板原因及防治措施。     

SDG故障诊断决策表的粒约简算法

为了减少故障特征集的维数,降低流程系统故障诊断知识库的复杂程度,本文将基于二进制粒矩阵的粒约简算法引入到基于SDG模型的故障诊断中.以离心泵与液位系统为例,用粒语言来描述和表达SDG故障诊断模型中的元素,建立反映故障-征兆因果关系的决策表,进而对冗余属性及属性值进行约简,有效地约简了SDG诊断规则,提高了故障诊断的效率.