Active fault-tolerant control with prescribed performance and reachability judgement for the altitude ground test facility

IF 5 1区 工程技术 Q1 ENGINEERING, AEROSPACE
Yuebin Lun , Honglun Wang , Jintao Hu , Guocheng Yan , Tiancai Wu , Bin Ren , Qiumeng Qian
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Abstract

This research proposes an active fault-tolerant control (AFTC) method based on reachability judgement with asymmetric appointed-time prescribed performance to ensure the safety of altitude ground test facility (AGTF) under potential valve actuator and sensor faults. Firstly, a long short-term memory (LSTM) neural network is employed for fault diagnosis. Given the unique characteristics of AGTF, the equivalent multiplicative fault is introduced to ensure the successful fitting of the fault diagnosis network. Then, a reachability judgement network based on the distance field on grids (DFOG) method is designed to assess the impact of faults on subsequent tasks of the system, thereby ensuring the safety of the AGTF. Subsequently, this study proposes an error transformation function of prescribed performance control (PPC) that ensures error convergence even in cases of asymmetric performance function. This enables the performance boundaries to be further reduced to improve the control performance of the system. Finally, experiments validate the effectiveness of the methods proposed in this manuscript.
主动容错控制,为高空地面试验设施提供规定的性能和可达性判断
本研究提出了一种基于可达性判断的主动容错控制(AFTC)方法,具有非对称指定时间规定性能,可确保高空地面试验设施(AGTF)在潜在阀门执行器和传感器故障下的安全性。首先,采用长短期记忆(LSTM)神经网络进行故障诊断。鉴于 AGTF 的特殊性,引入了等效乘法故障,以确保故障诊断网络的成功拟合。然后,设计了基于网格上距离场(DFOG)方法的可达性判断网络,以评估故障对系统后续任务的影响,从而确保 AGTF 的安全性。随后,本研究提出了规定性能控制(PPC)的误差变换函数,即使在性能函数不对称的情况下也能确保误差收敛。这使得性能边界可以进一步缩小,从而提高系统的控制性能。最后,实验验证了本手稿所提方法的有效性。
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来源期刊
Aerospace Science and Technology
Aerospace Science and Technology 工程技术-工程:宇航
CiteScore
10.30
自引率
28.60%
发文量
654
审稿时长
54 days
期刊介绍: Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to: • The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites • The control of their environment • The study of various systems they are involved in, as supports or as targets. Authors are invited to submit papers on new advances in the following topics to aerospace applications: • Fluid dynamics • Energetics and propulsion • Materials and structures • Flight mechanics • Navigation, guidance and control • Acoustics • Optics • Electromagnetism and radar • Signal and image processing • Information processing • Data fusion • Decision aid • Human behaviour • Robotics and intelligent systems • Complex system engineering. Etc.
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