本文就武装直升机大机动、高敏捷性神经网络鲁棒自适应飞行控制系统的设计问题展开研究。
The robust adaptive flight control system design with neural network of attack helicopter is studied in this dissertation and super maneuver nimble of attack helicopter is realized.
考虑到飞行控制系统闭环反馈及实时的特性,设计了多个鲁棒自适应观测器用于传感器的故障隔离与重构。
Based on performance of real-time and closed loop feedback flight control system, a set of robust adaptive observers are set up for sensor fault isolation and reconfiguration.
本文主要研究了闭环控制系统的故障检测和基于故障检测的自适应重构控制在飞行控制系统中的应用。
We mainly research on fault detection of closed-loop control systems and adaptive reconfiguration control based on fault detection and its application on flight control systems.
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