Fault-tolerant Control Scheme for the Sensor Fault in the Transition Process of Variable Cycle Engine

Lingwei Li, Yuan Yuan, Xinglong Zhang, Songwei Wu, Tianhong Zhang
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Abstract

This paper presents a fault-tolerant control (FTC) scheme for the sensor fault in the transition process of variable cycle engine (VCE) based on an adaptive equilibrium manifold model. Firstly, an adaptive equilibrium manifold model (AEMM) with multiple inputs and multiple outputs is established. Combined with the Kalman filter bank, sensor fault diagnosis is carried out to realize the diagnosis and signal reconstruction of the engine in the case of the single sensor and double sensor fault. On this basis, a sensor FTC scheme in the transient process of VCE is proposed, which uses the rotational speed for the closed-loop control. Finally, a hardware-in-loop (HIL) simulation platform is built based on the idea of distributed control. The FTC scheme of the sensor during the acceleration process of VCE is verified based on this platform. The results show that the fault tolerance scheme can accurately diagnose the fault of the low-pressure speed sensor during the acceleration process. After the fault, the analytic redundancy of the on-board model is used to replace the faulty sensor value to continue the closed-loop control, which ensures the reliability of the acceleration process.
变循环发动机过渡过程中传感器故障的容错控制方案
提出了一种基于自适应平衡流形模型的变循环发动机过渡过程传感器故障容错控制方案。首先,建立了多输入多输出的自适应平衡流形模型(AEMM)。结合卡尔曼滤波组进行传感器故障诊断,实现了发动机在单传感器和双传感器故障情况下的诊断和信号重构。在此基础上,提出了一种利用转速进行闭环控制的VCE暂态过程传感器FTC方案。最后,建立了基于分布式控制思想的硬件在环仿真平台。在此平台上验证了传感器在VCE加速过程中的FTC方案。结果表明,该容错方案能够准确诊断出加速过程中低压速度传感器的故障。故障发生后,利用板载模型的解析冗余替换故障传感器值,继续进行闭环控制,保证了加速过程的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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