Optimisation of the SIMONA Research Simulator's Motion Filter Settings for Handling Qualities Experiments

Gouverneur, Bas; Mulder, J.A.; Paassen, M.M. van; Stroosma, Olaf; Field, Edmund

doi:10.2514/6.2003-5679

Cited by 36 publications

(26 citation statements)

References 6 publications

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“…The transfer function, H SCC , found by Hosman and Van der Vaart is given in Equation (1). It relates the input angular acceleration,R BI , to the output neuronal discharge rate, n dis,SCC .…”

Section: Van Der Steenmentioning

confidence: 99%

“…In order to find a compromise between highest realism and the simulator limits, motion filters are used to calculate those inertial stimuli which best reflect the visual scene. 1 All this is only possible since humans do not immediately detect mismatches between both stimuli. In fact there is a more or less broad range in which, though different, both motions seem to be coherent for the human pilot.…”

Section: Introductionmentioning

confidence: 99%

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Phase Coherence Zones in Flight Simulation

Jonik

Mulder

2011

AIAA Modeling and Simulation Technologies Conference

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In flight simulation detailed knowledge of human motion perception is crucial. Phase differences between inertial and visual motion introduced by motion filters might have negative effects on the fidelity of flight simulation. This study investigated human visualvestibular phase-error detection. An experiment was conducted to measure the maximum amount of phase lead of the inertial motion with respect to the visual motion that remains undetected by the human. It contributes to the assessment of so-called coherence zones investigated in previous studies. Possible effects of the stimulus frequency, amplitude and the axis of rotation were examined. They were found to have no significant influence on phase-error detection. The average phase-error threshold was determined at 22 degrees. In accordance to previous studies the results showed that humans can be considered more like phase-error detectors rather than time delay detectors.

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Section: Van Der Steenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Phase Coherence Zones in Flight Simulation

Jonik

Mulder

2011

AIAA Modeling and Simulation Technologies Conference

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“…The SRS limits that were considered in this analysis, which were also used in Ref. 18, are given in Table 2. Using the same format as adopted in Ref.…”

Section: Ivc Heave Motion Filter Settingsmentioning

confidence: 99%

“…While not strictly a pure pitch maneuver, Gouverneur et al 18 performed a study into the effect of heave cueing settings on pilot performance in a lateral offset approach and landing task, using a simulation model of the Boeing Generic Large Transport aircraft. While motion cueing settings in all other degrees of freedom were kept fixed, heave motion cueing was varied over seven different washout settings (including one with a negative gain, yielding inverted heave motion cues).…”

Section: Iic Previous Workmentioning

confidence: 99%

“…Using this set of reference time traces, an analysis as described by Gouverneur et al 18 was performed, where a large number of combinations of K hp and ω hp were tried to verify if any of the SRS motion base limitations would be reached for a given motion filter setting. The break frequency ω hp was varied from 0.1 to 4.0 rad/s with steps of 0.1 rad/s, while values of K hp were tried ranging from 0.1 to 1.0 with steps of 0.05.…”

Section: Ivc Heave Motion Filter Settingsmentioning

confidence: 99%

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Effects of Heave Washout Filtering on Motion Fidelity and Pilot Control Behavior for a Large Commercial Airliner

Wieringen

Pool

Paassen

2011

AIAA Modeling and Simulation Technologies Conference

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Due to the significant translational heave motion at the pilot station associated with changes in aircraft pitch attitude, the motion cueing for aircraft pitch maneuvering typically requires significant heave washout filtering. Previous studies that attempted to motivate choices in the motion cueing strategy for pitch maneuvering based on measurements of pilot behavior. For the small conventional aircraft considered in these studies, the results indicated that, despite the fact that pilots were found to adapt their control strategy to changes in heave cueing, the pitch rotation had a dominant influence on pilot behavior during pitch tracking. For large commercial airliners, a relevant application of this research as a lot of commercial pilot training occurs on moving-base simulators, the location of the pilot station is significantly further from the center of aircraft pitch rotation, yielding more pronounced heave motion cues during changes in pitch attitude. This difference, in addition to typically slower pitch dynamics that require more lead equalization, implies the best choice in motion cueing for large aircraft may be significantly different from what would be optimal for smaller aircraft. In this paper, an experiment is described in which pilot behavior is measured in a pitch attitude disturbance-rejection task with a controlled element and motion cueing conditions that are representative for a Boeing 747 aircraft. Different third-order heave washout filter settings were considered, in addition to a variation in the presence of 1-to-1 rotational pitch motion. Significant effects of the applied variation in pitch and heave motion cueing are observed, even though the effect of heave motion feedback is indeed found to be comparatively more important for larger aircraft. Furthermore, a heave motion filter that combined a low gain with low filter phase distortion was found to yield the least effect on pilot behavior, while for heave motion filters with a relatively high gain and high break frequency significantly larger contributions of motion feedback to pilot behavior were observed.

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