包络线(雷达)
计算机科学
估计
航空学
航空航天工程
工程类
电信
系统工程
雷达
作者
Liang Tang,Michael Roemer,Ji Ge,Agamemnon L. Crassidis,J. V. R. Prasad,Christine M. Belcastro
出处
期刊:AIAA Guidance, Navigation, and Control Conference
日期:2009-06-14
被引量:51
摘要
This paper reports the latest development of several techniques for adaptive flight envelope estimation and protection system for aircraft under damage upset conditions. Through the integration of advanced fault detection algorithms, real-time system identification of the damage/faulted aircraft and flight envelop estimation, real-time decision support can be executed autonomously for improving damage tolerance and flight recoverability. Particularly, a bank of adaptive nonlinear fault detection and isolation estimators were developed for flight control actuator faults; a real-time system identification method was developed for assessing the dynamics and performance limitation of impaired aircraft; online learning neural networks were used to approximate selected aircraft dynamics which were then inverted to estimate command margins. As off-line training of network weights is not required, the method has the advantage of adapting to varying flight conditions and different vehicle configurations. The key benefit of the envelope estimation and protection system is that it allows the aircraft to fly close to its limit boundary by constantly updating the controller command limits during flight. The developed techniques were demonstrated on NASA s Generic Transport Model (GTM) simulation environments with simulated actuator faults. Simulation results and remarks on future work are presented.
科研通智能强力驱动
Strongly Powered by AbleSci AI