Towards the design of a pilot-induced-oscillation detection and mitigation scheme

Liu, Qingling; Lone, Mudassir

doi:10.2514/6.2013-4605

Cited by 3 publications

(1 citation statement)

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“…In the aeronautical literature, there exist some methods mainly based on the addition of filters or estimators designed to predict and reduce the risk of PIO (see, for example the OLOP criterion using describing functions studied in [12] or the use of a detector based on short time Fourier transform and autoregressive model [21]. In this chapter, we choose another route by considering the use of anti-windup technique,with the objective to provide constructive conditions (that is associating theoretical conditions to optimization routines in order to exhibit effective numerical solutions).…”

Section: Introductionmentioning

confidence: 99%

Pilot-Induced-Oscillations Alleviation Through Anti-windup Based Approach

Tarbouriech

Queinnec

Biannic

et al. 2016

Springer Optimization and Its Applications

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The chapter is dedicated to the optimization of a well-known structure of compensators: the anti-windup scheme. This approach belongs to the saturation allowance control class which aims to exploit at the most the actuators capabilities. The objective of this chapter consists of adapting and developing the anti-windup compensator design to some particular classes of nonlinear actuators presenting both magnitude and rate saturations. It is illustrated on the lateral flying case for a civil aircraft in presence of aggressive maneuvering of the pilot. A complete methodology is then proposed comparing several approaches including given anti-PIO filters.

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Section: Introductionmentioning

confidence: 99%

Pilot-Induced-Oscillations Alleviation Through Anti-windup Based Approach

Tarbouriech

Queinnec

Biannic

et al. 2016

Springer Optimization and Its Applications

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Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings

Scholl

Mike

Elconin

et al. 2016

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Pilot-Induced Oscillations (PIOs) are potentially hazardous piloting phenomena in which a pilot's control-inputs and the aircraft control-responses have (for any of a number of possible reasons) become out of phase. During PIOs, aggressive over-controlling on the part of the pilot in order to overcome a perceived lack of control can lead to complete loss of aircraft control. This study shows data recorded from a Cognionics dry electrode system during actual flight exercises can be used on a second-to-second basis to classify whether a pilot was undergoing a PIO event or if a PIO was imminent. If such PIO predictions could be made with adequate accuracy and robustness in real-time, they could form the basis of systems aimed at detecting and/or mitigating PIOs.

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