L1 Adaptive Control Design for NASA AirSTAR Flight Test Vehicle

Gregory, Irene M.; Cao, Chengyu; Xargay, Enric; Hovakimyan, Naira; Zou, Xiaotian

doi:10.2514/6.2009-5738

Cited by 100 publications

(65 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These capabilities enable off-nominal conditions mitigation, upset prevention, and safe maneuvering and landing of the aircraft. Some recent research accomplishments in effectively mitigating vehicle failure and damage effects using adaptive control techniques are described in References [8] and [9], and recent results on trajectory generation and guidance under off-nominal conditions are given in References [10], [11], and [12]. Moreover, utilization of key flight safety components as control objectives would explicitly provide some measure of flight safety assurance through the resilient control function.…”

Section: B Resilient Guidance and Controlmentioning

confidence: 99%

Future Integrated Systems Concept for Preventing Aircraft Loss-of-Control Accidents

Belcastro

Jacobson

2010

AIAA Guidance, Navigation, and Control Conference

View full text Add to dashboard Cite

Loss of control remains one of the largest contributors to aircraft fatal accidents worldwide. Aircraft loss-of-control accidents are highly complex in that they can result from numerous causal and contributing factors acting alone or (more often) in combination. Hence, there is no single intervention strategy to prevent these accidents. This paper presents future system concepts and research directions for preventing aircraft loss-ofcontrol accidents.

show abstract

Section: B Resilient Guidance and Controlmentioning

confidence: 99%

Future Integrated Systems Concept for Preventing Aircraft Loss-of-Control Accidents

Belcastro

Jacobson

2010

AIAA Guidance, Navigation, and Control Conference

View full text Add to dashboard Cite

show abstract

“…The L 1 adaptive control architecture and its variants have been verified for a number of systems: flight tests of augmentation of an off-the-shelf autopilot for path following [8,9], autopilot design and flight test for Micro Air Vehicles (MAV) [10], tailless unstable military aircraft [11], Aerial Refueling Autopilot design [12,13], flexible aircraft (Sensorcraft) [14], control of wingrock in the presence of faults [15], air-breathing hypersonic vehicles [16], and the NASA AirSTAR Generic Transport Model [17].…”

Section: Adaptive Control Overviewmentioning

confidence: 99%

L1 Adaptive Control Augmentation System for the X-48B Aircraft

Leman

Xargay

Dullerud³

et al. 2009

AIAA Guidance, Navigation, and Control Conference

Self Cite

View full text Add to dashboard Cite

This thesis considers the application of L 1 adaptive control methodology to a model of the X-48B Blended Wing Body aircraft. We explicitly verify the performance bounds of the adaptive flight control system at various flight conditions. We demonstrate that the resulting L 1 adaptive controller does not require tuning or redesign from one flight condition to another. Furthermore, once designed according to the theoretical guidelines, the L 1 adaptive controller ensures uniform transient and steady-state performance across the entire flight envelope in the presence of significantly coupled dynamics and control surface failures.ii

show abstract

“…Also, care needs to be exercised when scheduling with respect to a state variable that changes rapidly. To overcome the limitations of linearity, much work has been done on nonlinear control law design, such as by dynamic inversion [5] and a host of adaptive techniques [6,7]. These are also not necessarily problem-free, with issues such as robustness to model uncertainty and stability guarantees requiring special attention.…”

Section: Introductionmentioning

confidence: 99%