Aircraft Accident Investigation Using Wavelet Scalogram-Based Metric to Identify Possible PIO Signature

Mello, Ricardo S.; Klyde, David H.; Mitchell, David G. M.

doi:10.2514/6.2023-1367

Cited by 4 publications

(5 citation statements)

References 7 publications

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“…Among these methods, the most prominent are short-time Fourier transform (STFT) and the recently developed wavelet analysis. Because STFT cannot simultaneously consider the needs of frequency and time resolution, the wavelet analysis method, with good timefrequency resolution, is more widely used in engineering [13]. This paper primarily focuses on studying pilot control actions using wavelet analysis and attempts to evaluate and analyze pilot control workload based on this approach.…”

Section: Workload Evaluation Methods Based On Wavelet Analysismentioning

confidence: 99%

“…Pilot workload is a hypothetical construct that represents the cost incurred by a pilot to achieve a particular flight task. Although many factors affect pilot workload, including the flight environment, pilot skills, perception, experience, etc., the level of the pilot workload is often estimated based on the time histories of the pilot control inputs [2,[8][9][10][11][12][13]. Intuitively, the factors that primarily affect pilot workload can be described as the amplitude and frequency for each pilot control input, as well as the complexity of the cooperation between them.…”

Section: Introductionmentioning

confidence: 99%

“…Their research demonstrated a likely correlation between these frequencies and pilot HQR ratings based on flight tests, as shown in Figure 3. Tritschler and Mello [11][12][13] employed various pilot control action analysis methods to examine pilot control actions. They found that relying solely on cutoff frequency to determine pilot workload can be misleading.…”

Section: Introductionmentioning

confidence: 99%

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Research on Pilot Control Strategy and Workload for Tilt-Rotor Aircraft Conversion Procedure

Yan,

Yuan,

Chen

2023

Aerospace

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This paper studies the pilot control strategy and workload of a tilt-rotor aircraft dynamic conversion procedure between helicopter mode and fixed-wing mode. A nonlinear flight dynamics model of tilt-rotor aircraft with full flight modes is established. On this basis, a nonlinear optimal control model of dynamic conversion is constructed, considering factors such as conversion corridor limitations, pilot control, flight attitude, engine rated power, and wing stall effects. To assess pilot workload, an analytical method based on wavelet transform is proposed, which examines the mapping relationship between pilot control input amplitude, constituent frequencies, and control tasks. By integrating the nonlinear optimal control model and the pilot workload evaluation method, an analysis of the pilot control strategy and workload during the conversion procedure is conducted, leading to the identification of strategies to reduce pilot workload. The results indicate that incorporating the item of pilot workload in the performance index results in a notable reduction in the magnitude of collective stick inputs and longitudinal stick inputs. Moreover, it facilitates smoother adjustments in altitude and pitch attitude. Additionally, the conversion of the engine nacelle can be achieved at a lower and constant angular velocity. In summary, the conversion and reconversion procedures are estimated to have a low workload (level 1~2), with relatively simple and easy manipulation for the pilot.

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Section: Workload Evaluation Methods Based On Wavelet Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on Pilot Control Strategy and Workload for Tilt-Rotor Aircraft Conversion Procedure

Yan,

Yuan,

Chen

2023

Aerospace

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show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Research on Pilot Control Strategy and Workload for Tilt-Rotor Aircraft Conversion Procedure

Yan¹,

Yuan²,

Chen³

2023

Preprint

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This paper studies the pilot control strategy and workload of tilt-rotor aircraft dynamic conversion procedure between helicopter mode and fixed-wing mode. A nonlinear flight dynamics model of tilt-rotor aircraft with full flight modes is established. On this basis, a nonlinear optimal control model of dynamic conversion is constructed, considering factors such as conversion corridor limitations, pilot control, flight attitude, engine rated power, and wing stall effects. To assess pilot workload, an analytical method based on wavelet transform is proposed, which examines the mapping relationship between pilot control input's amplitude, constituent frequencies, and control tasks. By integrating the nonlinear optimal control model and the pilot workload evaluation method, the analysis of pilot control strategy and workload during the conversion procedure is conducted, leading to the identification of strategies to reduce pilot workload. The results indicate that incorporating the item of pilot workload in the performance index results in a notable reduction in the magnitude of collective stick inputs and longitudinal stick inputs. Moreover, it facilitates smoother adjustments in altitude and pitch attitude. Additionally, the conversion of the engine nacelle can be achieved at a lower and constant angular velocity. In summary, the conversion and reconversion procedures are estimated to have a low workload (Level 1 ~ Level 2), with relatively simple and easy manipulation for the pilot.

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Artificial neural networks for PIO events classification comparing different data collection procedures

Bruschi,

Drewiacki,

Bidinotto

2024

J Braz. Soc. Mech. Sci. Eng.

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Aircraft Accident Investigation Using Wavelet Scalogram-Based Metric to Identify Possible PIO Signature

Cited by 4 publications

References 7 publications

Research on Pilot Control Strategy and Workload for Tilt-Rotor Aircraft Conversion Procedure

Research on Pilot Control Strategy and Workload for Tilt-Rotor Aircraft Conversion Procedure

Research on Pilot Control Strategy and Workload for Tilt-Rotor Aircraft Conversion Procedure

Artificial neural networks for PIO events classification comparing different data collection procedures

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