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Simultaneous fault detection and isolation and fault-tolerant control using supervisory control technique: asynchronous switching approach

机译:同时故障检测和隔离和容错控制使用监控技术:异步切换方法

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摘要

This article focuses on the design of a novel active fault-tolerant control scheme based on supervisory control technique for a class of nonlinear systems. This framework relies on a supervisory switching among a finite family of predesigned candidate controllers, which simultaneously performs isolation and accommodation of intermittent faults. This method does not require any additional model or filter bank for fault isolation. Two controller switching algorithms are introduced based on the dwell time and state which are designed especially for this purpose. There is often some time delay between fault occurrence and accommodation. This delay, which is called as the fault detection and isolation delay, causes the asynchronous switching between the system mode and the candidate controller. For the investigation of the stability of the faulty system under asynchronous switching, we explicitly construct piecewise Lyapunov function based on the knowledge of the known Lyapunov function for each operating mode. Then, by using this piecewise Lyapunov function, a new average dwell-time condition is provided on the maximum admissible fault occurrence rate. This condition guarantees the input-to-state stability of the system with respect to the reference signal. The behavior and performance of the proposed fault-tolerant control/fault detection and isolation scheme are demonstrated on the pitch-axis air vehicle model. The hardware-in-the-loop simulation is an important test for the evaluation of the air vehicle autopilot system before flight test. Therefore, the hardware-in-the-loop simulation results are presented to illustrate the effectiveness of the proposed method in the autopilot control loop.
机译:本文侧重于基于一类非线性系统的监控技术设计了一种新型主动容错控制方案。该框架依赖于预测候选控制器的有限系列中的监督切换,同时执行间歇性故障的隔离和容纳。此方法不需要任何其他模型或过滤器存储体进行故障隔离。基于适用于此目的的停留时间和状态,引入了两个控制器切换算法。故障发生和住宿之间经常有一段时间延迟。这种延迟称为故障检测和隔离延迟,导致系统模式和候选控制器之间的异步切换。为了调查异步切换下故障系统的稳定性,我们根据每个操作模式的知识显式构建分段Lyapunov功能。然后,通过使用这种分段Lyapunov函数,提供了最大可允许的故障发生率的新平均停留时间条件。该条件保证了系统相对于参考信号的输入到状态稳定性。俯仰轴空气车辆模型对所提出的容错控制/故障检测和隔离方案的行为和性能。环路内仿真是在飞行试验之前评估空气车辆自动驾驶系统的重要测试。因此,提出了硬件型仿真结果以说明所提出的方法在自动驾驶仪控制回路中的有效性。

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