Neural-Network-Based Dynamic Flight Envelop Protection Within Integrated Aircraft Control System
نویسندگان
چکیده
A sparse recurrent fuzzy neural network (SRFNN)-based dynamic flight envelope protection (FEP) method is proposed and integrated into an aircraft control system against possible failures. As a baseline of the system, fault-tolerant controller used to compensate uncertainties caused by failures, such as damaged wing. augmentation, SRFNN-based FEP employed prevent from breaking through safe bounds, which are updated adaptively with help safety-critical information obtained SRFNN. Additionally, performance can be improved after system. The not only improve some failures but also getting out control. Simulations conducted test verify effectiveness FEP. Simulation results show efficacy
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ژورنال
عنوان ژورنال: Journal of Guidance Control and Dynamics
سال: 2023
ISSN: ['1533-3884', '0731-5090']
DOI: https://doi.org/10.2514/1.g006872