Assessment of a Scalogram-Based PIO Metric with Flight Test Data

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

doi:10.2514/6.2017-1641

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…Scalograms represent the spectrum of frequencies within the control input as a function of time. Later, the metric was successfully used to detect pilot induced oscillations within the flight and simulation test databases [24,25]. Moreover, Tritschler et al described the use of TFD methods to analyse the pilot control activity for an OH-58C Kiowa helicopter performing the pirouette MTE [12].…”

Section: Objective Compensation Measures: Backgroundmentioning

confidence: 99%

Helicopter Handling Qualities: A study in pilot control compensation

et al. 2021

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The research reported in this paper is aimed at the development of a metric to quantify and predict the extent of pilot control compensation required to fly a wide range of mission task elements. To do this, the utility of a range of time- and frequency-domain measures to examine pilot control activity whilst flying hover/low-speed and forward flight tasks are explored. The tasks were performed by two test pilots using both the National Research Council (Canada)’s Bell 412 Advanced Systems Research Aircraft and the University of Liverpool’s HELIFLIGHT-R simulator. Handling qualities ratings were awarded for each of the tasks and compared with a newly developed weighted adaptive control compensation metric based on discrete pilot inputs, showing good correlation. Moreover, in combination with a time-varying frequency-domain exposure, the proposed metric is shown to be useful for understanding the relationship between the pilot’s subjective assessment, measured control activity and task performance. By collating the results from the subjective and objective metrics for a range of different mission task elements, compensation boundaries are proposed to predict and verify the subjective assessments from the Cooper-Harper Handling Qualities Rating scale.

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Section: Objective Compensation Measures: Backgroundmentioning

confidence: 99%

Helicopter Handling Qualities: A study in pilot control compensation

et al. 2021

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“…A scalogram-based PIO metric based on flight test data has been proposed by Klyde et al [26] and Xu et al [27]. This metric uses wavelet transforms to identify causes for nonlinear PIO events.…”

Section: B Scalogram-based Pio Metricmentioning

confidence: 99%

Mechanism Analysis of Smart Cue on Aircraft for Loss of Control Mitigation

Zhang

2020

IEEE Access

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This paper analyzes the mechanism of the smart inceptor on the aircraft, as a means to mitigate human-vehicle system loss-of-control. We divide the smart inceptor cue into three modes: the smart cue on the human pilot, the smart cue on the flight control system and the smart cue on both of them. The control mechanism of these three modes is developed and analyzed in depth. To evaluate the effect of the three modes, we utilize an intelligent human pilot model to establish the human-vehicle system with the smart inceptor and a scalogram-based pilot induced oscillation metric to predict the handling qualities of the three modes. This paper presents details of the cueing modes and the results of the prediction focused on effectiveness of these modes in preventing the pilots from entering a loss-of-control event. The simulation results indicate that the smart cue on both of them was the most effective method to mitigate the impact of the pilot-aircraft system oscillations for the given failure scenarios. It embodies the function of pilot-aircraft cooperation. INDEX TERMS Flight simulation, human-vehicle system, human pilot model, interface, manual control.

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Defining Pilot Gain

Mitchell¹,

Klyde

2020

Journal of Guidance, Control, and Dynamics

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Assessment of a Scalogram-Based PIO Metric with Flight Test Data

Cited by 6 publications

References 7 publications

Helicopter Handling Qualities: A study in pilot control compensation

Helicopter Handling Qualities: A study in pilot control compensation

Mechanism Analysis of Smart Cue on Aircraft for Loss of Control Mitigation

Defining Pilot Gain

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