基于智能解析余度的容错飞控系统设计

常规的解析余度容错方法容易受到不确定因素和随机干扰的影响,本文以飞行控制系统为研究对象,提出基于智能解析余度的容错飞行控制系统设计方案,使用径向基神经网络的在线学习和全局逼近的性能,建立飞行控制系统传感器之间的解析余度关系,利用不相同传感器之间的解析关系进行残差分析从而进行传感器的故障隔离与信号重构.这样有效地抑制了测量噪声和模型不确定性.应用某型飞机进行仿真,实现了传感器的在线故障隔离与重构,验证了该方法的有效性.     

飞行控制系统故障诊断与重构技术研究

对于高空长航时无人机高性能要求,提出一种多等级余度飞行控制系统;结合飞行控制系统各组成部分的结构特点,给出了传感器信号的余度信号管理技术,机载计算机通道故障诊断与仲裁技术;伺服子系统故障隔离和控制分配重构技术;试验结果表明该飞行控制系统故障诊断与重构方案设计合理可行,不仅较好地完成了飞行控制系统的余度管理任务,而且有效提高了故障检测率抑制了虚警,保证了系统的可靠性与容错能力.     

四余度数字电传控制系统输入信息余度管理策略及其应用

电传控制系统使飞机的稳定性和机动性达到了理想融合。余度技术是提高电传控制系统安全性与任务可靠性的一种重要手段。系统输入信息的余度管理策略是余度设计的一个关键技术。结合某型四余度数字电传控制系统,详细描述了其输入信息余度管理策略与实现。工程实践表明,该策略可最大限度地提高系统的资源利用率,并对余度系统能进行准确的故障诊断、故障重构、故障隔离及故障申报。系统闭环故障仿真试验研究表明,系统二次故障具有无痕切换能力,验证了系统设计的合理性和高可靠性。     

BOSCH 传感器特性研究及信号调理电路的设计􀀂

在柴油机电控喷油泵中所采用的传感器是德国BOSCH公司的一种位移式传感器,它是电控喷油泵闭环控制系统中齿条位置反馈元件.本文针对该传感器进行了特性测试,并通过实验研究确定了喷油泵内齿条与传感器位置的物理零点,最后对传感器的信号调理电路进行了设计.     

电磁激励谐振式MEMS压力传感器闭环控制研究

在谐振器动力学分析的基础上,系统地比较了谐振式压力传感器检测速度谐振频率和检测位移谐振频率的优缺点.设计出一种零相移的电磁激励谐振式MEMS压力传感器闭环控制系统,该系统利用检测速度谐振频率提高传感器的信号检测稳定性,并且控制电路无需移相环节即可保证传感器在工作频率范围内实现稳定可靠的闭环自激.实验结果表明,采用该闭环控制系统的传感器具有较高的稳定性,传感器长时漂移低于0.025%F.S.,在10 hPa～1 050 hPa范围内非线性度为0.06%.     

基于无线传感器网络的LQR输出反馈控制器设计

考虑一类基于无线传感器网络实现闭环的网络控制系统;分析了无线传感器网络中采用的多跳射频通讯技术对网络延时的影响,提出了一种基于客户机-服务器模型的LQR输出反馈控制策略,根据网络延时变化与数据包传递时所经历的跳数之间的关系,将闭环控制系统转化为一个切换控制系统,利用李亚普诺夫稳定性定理、线性矩阵不等式和切换控制系统理论等工具,推导了闭环控制系统的稳定性条件,给出了LQR输出反馈控制器的参数优化办法;实验结果表明了所提出控制算法的有效性。     

基于扰动估计的飞行控制系统传感器故障重构

针对飞行控制系统的传感器故障重构问题,讨论了基于扰动估计的传感器故障检测与重构方法。首先,通过建立观测器,对已有系统的干扰进行估计;其次,通过干扰的估计值来建立系统的鲁棒观测器;最后,再通过对系统建立多个降维鲁棒观测器来隔离并重构传感器故障。采用某飞机横侧向模型进行仿真验证,仿真表明基于扰动估计的鲁棒观测器能够有效地对传感器故障进行隔离与重构。     

基于滑模观测器的车辆电子稳定性控制系统故障重构

针对车辆电子稳定性控制系统的横摆角速度传感器和侧向加速度传感器故障检测和重构问题,使用T-S模糊系统建立了车辆动力学系统的全局模型,依据滑模控制理论,给出了基于滑模观测器的传感器故障检测和重构方法,且所设计观测器满足给定的从未知输入到故障重构误差的L2增益性能要求.最后通过实测数据,验证了方法是可行的.     

基于观测器的非线性网络控制系统容错控制

研究了一类基于观测器的非线性连续网络控制系统容错控制器设计问题.针对传感器采用时间驱动方式,控制器和执行器均采用事件驱动方式的网络控制系统,设计了观测器,建立了基于状态观测器的增广闭环系统模型.利用线性矩阵不等式和自由权矩阵的方法,推导出闭环系统渐近稳定的充分条件,给出了观测器和容错控制器协同设计的方法.实例仿真证明了所用方法的有效性.     

飞机操纵面损伤的自适应容错控制设计

针对飞控系统实时控制和高可靠性的要求,提出一种飞控系统多操纵面损伤的在线容错控制算法.首先建立包含各种常见故障的操纵面参数仿真模型和故障注入仿真机制,其次由于故障的随机性,设计多个并行的在线观测器,对应于每个观测器模型建立一个基于特征结构配置的控制器.最后根据多个观测器和相应的控制器可完成系统在线故障隔离与重构.应用某型飞机横侧向控制系统进行仿真,得到了预期的效果.此方法设计简单合理,适于工程应用.     

Fault‐tolerant fusion‐based MPC with sensor recovery for constrained LPV systems

In this paper, we present a robust fault‐tolerant control scheme for constrained multisensor linear parameter‐varying systems, subject to bounded disturbances, that utilises multiple sensor fusion. The closed‐loop scheme consists of a tube model predictive control‐based feedback tracking controller and sensor‐estimate fusion strategy, which allows for the reintegration of previously faulty sensors. The active fault‐tolerant fusion‐based mechanism tracks the healthy‐faulty transitions of suitable residual variables by means of set separation and precomputed transition times. The sensor‐estimate pairings are then reconfigured based on available healthy sensors. Under the proposed scheme, robust preservation of closed‐loop system boundedness is guaranteed for a wide range of sensor fault situations. An example is presented to illustrate the performance of the fault‐tolerant control strategy.     

Fault diagnosis and monitoring of oscillatory failure case in aircraft inertial system

A method for oscillatory fault detection and isolation is presented and used to detect oscillatory failures of redundant aircraft sensors involved in the computation of flight control laws. The objective is to switch off the erroneous sensor and to compute a consolidated parameter using data from valid sensors, in order to eliminate any anomaly before propagation in the control loop. The benefit of the presented method is to improve the consolidation process with a fault detection and isolation approach when only few sources (less than three) are valid. Different techniques are compared to accurately detect any behavioral change of the sensor outputs. The approach is validated on a normalized real flight data set.     

Invariant‐set‐based fault diagnosis in Lure systems

In this paper, we present an invariant‐set‐based method for actuator and sensor fault detection and isolation in Lure systems. The Lure plant is controlled by an observer‐based feedback tracking controller, designed for the nominal (fault‐free) system. Suitable residual signals are constructed from measurable system outputs and estimates associated with the nominal observer. Faults are diagnosed by online contrasting the residual signal trajectories against sets of values that the residuals are shown to attain under healthy or faulty operation. These values are obtained via set‐invariance analysis of the system closed‐loop trajectories. Copyright © 2013 John Wiley & Sons, Ltd.     

基于MATLAB的自修复飞控系统仿真

可靠性和可维护性是当代飞控系统面临的首要问题,自修复飞控系统在解决这两方面问题的同时,提高了飞机的生存能力。采用ＭＡＴＬＡＢ仿真语言,开发出自修复飞控系统仿真平台,实现了收音机的全面运动仿真。同时,根据自修复飞控系统的需要,可进行了收音机故障的加载,以及对故障进行检测、隔离和估计,然后完成飞行重构,具备了完整的自修复飞控系统信息功能。     

Fault tolerant control using virtual actuators and set‐separation detection principles

In this paper we combine a set‐separation approach to fault detection and identification (FDI), recently proposed by the authors, with the virtual actuator approach to controller reconfiguration of Steffen and Lunze. The FDI approach is based on the separation of sets that characterize the system operation under different actuator fault situations that can occur in the plant. The derivation of these sets takes into account the closed‐loop system reconfigured by means of the virtual actuator under all considered actuator faults. Analytic conditions in terms of closed‐loop system parameters and bounds on external signals can be deduced from the required set separation which, in turn, guarantees closed‐loop stability, setpoint tracking, and optimal performance properties of the scheme under all considered fault situations. Thus, the main contribution of this paper is twofold. First, it provides an integrated strategy for fault tolerant control by adapting two existing techniques for FDI and for controller reconfiguration to work in combined form. Second, and more importantly, it endows the resulting combined scheme with guaranteed closed‐loop stability, setpoint tracking and optimal performance properties under actuator faults and in the presence of disturbances. Copyright © 2011 John Wiley & Sons, Ltd.     

Data-driven sensor fault diagnosis systems for linear feedback control loops

This paper develops a sensor fault diagnosis (SFD) scheme for a multi-input and multi-output linear dynamic system under feedback control to identify different types of sensor faults (bias, drift and precision degradation), particularly for the incipient sensor faults. Feedback control, leading to fault propagation and disguised fault rectification, imposes the challenge on the data-driven SFD. With only available output data in closed loop, the proposed scheme comprises two stages of residual generation and residual evaluation. In the residual generation, a data-driven identification of the residual generator for the feedback control system is proposed. One class of parameters in the residual generator are estimated using process delays while another class of parameters describing the output dynamic are derived by the Bayes’ formula. The means and variances control charts of online calculated residuals are made to judge the root cause. Two case studies are performed to illustrate the effectiveness of the proposed method.     

考虑传感器故障的导弹姿态控制系统主动容错控制研究

针对导弹姿态控制系统惯性传感器故障,提出了基于信号重构的主动容错控制方法.分别利用基于梯形算法的数值积分器和有限时间收敛微分器对姿态角信号和角速率信号进行重构,当在线诊断出姿态角或角速率传感器故障时,以重构信号代替故障信号进行反馈控制来实现系统的主动容错控制.在建立导弹姿态控制系统模型并采用次最优控制方法设计输出反馈控制器的基础上,对所设计的主动容错控制方法进行仿真,仿真结果表明该方法是有效的.