Adaptive Estimation Based Loss of Control Detection and Mitigation

This paper addresses the computation and prediction of recoverable sets for aircraft flight control, especially after a loss of control event. A recoverable set is the set of all initial conditions for which there exists a control sequence such that the ensuing system trajectories satisfy the imposed constraints while the aircraft is stabilized to a specified trim point. In our approach, the recoverable sets are approximated as projections of safe sets for the closed-loop linearized system dynamics extended with the additional states of an auxiliary system that generates the recovery sequence. We illustrate the computation of the recoverable sets and how these sets evolve with changes in flight conditions. A reshaping transformation is proposed to estimate a subset of the recoverable set at one flight condition given knowledge of the recoverable set at another given flight condition. The reshaping transformations of the recoverable sets that include scalar and vector scalings of their vertex representation are studied in more detail. Approaches to checking state recoverability based on nonlinear models are also discussed.

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“…whereĀ is a Schur matrix andx is then-vector state of the auxiliary system (8). We denote the safe set for…”

Section: B Recoverable Setsmentioning

confidence: 99%

Recoverable sets of initial conditions and their use for aircraft flight planning after a loss of control event

McDonough

Kolmanovsky

Atkins

2014

AIAA Guidance, Navigation, and Control Conference

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“…18 Recovery of the vehicle from LOC scenarios becomes immediate objective when the prevention strategies flounder to perform. [19][20][21][22][23][24][25][26] Pilot activated recovery control system 19,20 is an actively developing area in which the pilot is made to do a set of steps to recover from the LOC scenario. Adaptive controller design based recovery is another active area of research, 21,22 which more or less relies on a nominal plant model to do the estimation and recovery.…”

Section: Introductionmentioning

confidence: 99%

An investigation into aircraft loss of control and recovery solutions

Rohith

2019

Proceedings of the Institution of Mechanical Engineers, Part G:

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Aircraft loss of control is an acute phenomenon that has far reaching consequences irrespective of the class and type of aircraft. In order to ensure safe aircraft operation, loss of control problem has to be addressed efficaciously. This paper investigates various factors that trigger the onset of loss of control events and recovery solutions for the same. Rather than relying on statistics alone, this paper concentrates on simulation-based investigation towards various loss of control scenarios and subsequent recovery schemes. Through bifurcation analysis, distinct abnormal dynamics have been identified and their contributions in driving the aircraft towards loss of control have been examined. The effect of steady wind on aircraft dynamics and the evolution of chaotic dynamics as a precursor to loss of control are presented. Aircraft loss of control under actuator impairment conditions are also probed into. Various loss of control recovery schemes have been investigated and a robust loss of control recovery solution based on sliding mode control is also presented.

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“…These safe ight envelopes are used to improve the pilot's situational awareness by determining available aircraft maneuverability or controllability margins using the optimal control framework [14], adaptive estimation [34] or data-based predictive control [4]. The controllability boundaries are computed using the pilot's inputs, aircraft state time histories recorded over a time window, and the estimated dynamics, and are provided to the pilot in the form of two dimensional bounding box around the pilot's stick current position.…”

Section: Introductionmentioning

confidence: 99%

Stall Recovery Guidance Algorithms Based on Constrained Control Approaches

Stepanyan

Krishnakumar

Kaneshige

et al. 2016

AIAA Guidance, Navigation, and Control Conference

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Aircraft loss-of-control, in particular approach to stall or fully developed stall, is a major factor contributing to aircraft safety risks, which emphasizes the need to develop algorithms that are capable of assisting the pilots to identify the problem and providing guidance to recover the aircraft. In this paper we present several stall recovery guidance algorithms, which are implemented in the background without interfering with ight control system and altering the pilot's actions. They are using input and state constrained control methods to generate guidance signals, which are provided to the pilot in the form of visual cues. It is the pilot's decision to follow these signals. The algorithms are validated in the pilot-in-the loop medium delity simulation experiment.

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Adaptive Estimation Based Loss of Control Detection and Mitigation

Cited by 14 publications

References 8 publications

Recoverable sets of initial conditions and their use for aircraft flight planning after a loss of control event

Recoverable sets of initial conditions and their use for aircraft flight planning after a loss of control event

An investigation into aircraft loss of control and recovery solutions

Stall Recovery Guidance Algorithms Based on Constrained Control Approaches

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