Use of In-Flight Simulation to Create a Flying Qualities Database

Klyde, David H.; McMahon, Ryan P.; Weingarten, Norman; Harris, Chad

doi:10.2514/6.2008-1624

Cited by 6 publications

(5 citation statements)

References 3 publications

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“…2 with a centerstick. The three modified Learjets provide three degreeof-freedom (3-DOF) in-flight simulation capabilities for advanced stability, control, and flying qualities demonstrations and research [10]. They are also used to test/demonstrate advanced flight control systems concepts.…”

Section: A In-flight Simulator Descriptionmentioning

confidence: 99%

Power Frequency: A Metric for Analyzing Pilot-in-the-Loop Flying Tasks

Lampton

Klyde

2012

Journal of Guidance, Control, and Dynamics

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Crossover frequency is a parameter often used to characterize the pilot-vehicle system behavior for continuous control tasks with known forcing functions. However, for many tasks, such an input is not known, and in these cases cutoff frequency can be applied. While cutoff frequency is a useful parameter, it does not necessarily reflect pilot effort. Power frequency, derived from cutoff frequency via wavelet analysis, is introduced herein as a parameter that relates the frequency of pilot input with the intensity of that input. Scalogram-based time-varying counterparts to both the cutoff frequency and power frequency show how this relationship evolves through a given task. Both the cutoff and the power frequency are calculated for flight test data from an offset approach and landing task. The pilot ratings recorded for each evaluation are then compared to both the cutoff frequency and power frequency to determine if a correlation exists. Results show that there is significant scatter in the ratings versus cutoff frequency data and a strong correlation between ratings versus pilot input power frequency.pilot describing function Greek = sideslip a = aileron position a l = aileron position limited position ac = aileron position command ac rl = rate limited aileron position command c = surface command s = stick position = roll attitude e = effective system time delay ! = frequency ! c = crossover frequency ! cutoff = cutoff frequency ! G = power frequency = integral of the power spectral density Abbreviations EP = evaluation pilot FFT = fast fourier transform FREDA = frequency domain analysis PIO = pilot induced oscillation PSD = power spectral density RMS = root mean square SP = safety pilot STI = Systems Technology, Inc. VSS = variable stability system

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Section: A In-flight Simulator Descriptionmentioning

confidence: 99%

Power Frequency: A Metric for Analyzing Pilot-in-the-Loop Flying Tasks

Lampton

Klyde

2012

Journal of Guidance, Control, and Dynamics

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“…1 was used in this program). The Learjets provide 3-degree-of-freedom (3-DOF) in-flight simulation capabilities for advanced stability, control, and flying qualities demonstrations and research [3]. They are also used to test/demonstrate advanced flight control systems concepts.…”

Section: A Overviewmentioning

confidence: 99%

“…As described in [3], the right seats of the Learjets have been extensively modified to serve as the evaluation pilot (EP) crew station. The normal Learjet wheel/column has been removed.…”

Section: A Overviewmentioning

confidence: 99%

“…As described in [3], in-flight simulation is performed using control laws hosted in the VSS computers. These computers include the original hybrid digital/analog units and a fully digital unit.…”

Section: B Variable Stability System Descriptionmentioning

confidence: 99%

“…Learjet configuration layout and cockpit in ground simulation mode with programmable head-down display[3].…”

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confidence: 99%

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Approach and Landing Flight Evaluation of Smart-Cue and Smart-Gain Concepts

Klyde

Liang

2009

Journal of Guidance, Control, and Dynamics

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The smart-cue and smart-gain concepts were developed as a means to alleviate pilot-vehicle-system loss of control in the presence of control surface actuator rate limiting. Both concepts exploit the measure of dynamic distortion, that is, the difference between the actual and an ideal aircraft control system response. The concept of dynamic distortion has significantly evolved in work conducted by Systems Technology, Inc., during a two-phase program sponsored by NASA Dryden Flight Research Center. In this work, the distortion of interest results from control surface rate limiting and is quantified by the surface position error, whereas the distortion metric is the position lag. A force feedback cue (the constraining function) and/or a command path gain reduction are created when the position error exceeds the position lag (the alerting function). This paper examines the approach and landing flight-test evaluations conducted using the Calspan Corporation Learjet II In-Flight Simulator. Three test pilots evaluated several smart-cue and smart-gain implementations while performing the precision offset landing task. One of the pilots flew on a calm air day, whereas the other two flew on days with moderate turbulence and significant crosswinds. The clear performance enhancer for all three pilots was the smart-gain, however, the best results for the two pilots who flew under adverse conditions were obtained for the configuration that featured both the smart-cue and smartgain active. This configuration eliminated the undesirable motions that were encountered in the final centerline correction when only the smart-gain was active.

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Approach and Landing Flight Evaluation of Smart-Cue and Smart-Gain Concepts

Klyde

Ying-Liang

2008

AIAA Atmospheric Flight Mechanics Conference and Exhibit

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Use of In-Flight Simulation to Create a Flying Qualities Database

Cited by 6 publications

References 3 publications

Power Frequency: A Metric for Analyzing Pilot-in-the-Loop Flying Tasks

Power Frequency: A Metric for Analyzing Pilot-in-the-Loop Flying Tasks

Approach and Landing Flight Evaluation of Smart-Cue and Smart-Gain Concepts

Approach and Landing Flight Evaluation of Smart-Cue and Smart-Gain Concepts

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