Phase Coherence Zones in Flight Simulation

Jonik, P. M.; Mulder, M.

doi:10.2514/6.2011-6555

Cited by 9 publications

(4 citation statements)

References 13 publications

(15 reference statements)

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“…The detection threshold of phase errors introduced by the MCA have been also studied 34 and in particular for pitch and yaw motion a phase error threshold of 22 deg/s was identified. 35 A complete knowledge of these phase error thresholds for every motion channels would give the possibility to evaluate what is the maximum acceptable signal delay that will not be perceived. Unfortunately, these values are not yet known.…”

Section: Methodsmentioning

confidence: 99%

“…As mentioned above, for the yaw rate, the phase error detection threshold is known and equal to 22 deg. 35 For each maneuver where the yaw rate is significant, the phase error threshold is divided by the maximum significant frequency content of each maneuver to compute the value of DI that corresponds to the phase error detection threshold. This value of DI represents the maximum signal delay that can not be perceived.…”

Section: Motion Quality Indicatorsmentioning

confidence: 99%

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Objective evaluation of prediction strategies for optimization-based motion cueing

et al. 2018

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Optimization-based motion cueing algorithms based on model predictive control have been recently implemented to reproduce the motion of a car within the limited workspace of a driving simulator. These algorithms require a reference of the future vehicle motion to compute a prediction of the system response. Assumptions regarding the future reference signals must be made in order to develop effective prediction strategies. However, it remains unclear how the prediction of future vehicle dynamics influences the quality of the motion cueing. In this study two prediction strategies are considered. Oracle: the ideal prediction strategy that knows exactly what the future reference is going to be. Constant: a prediction strategy that ignores every future change and keeps the current vehicle’s linear accelerations and angular velocities constant. The two prediction strategies are used to reproduce a sequence of maneuvers between 0 and 50 km/h. A comparative analysis is carried out to objectively evaluate the influence of the prediction strategies on motion cueing quality. Dedicated indicators of correlation, delay and absolute error are used to compare the effects of the adopted prediction on simulator motion. Also the motion cueing mechanisms adopted by the different conditions are analyzed, together with the usage of simulator workspace. While the constant strategy provided reasonable cueing quality, the results show that knowledge of the future vehicle trajectory reduces the delay and improves correlation with the reference trajectory, it allows the combined usage of different motion cueing mechanisms and increases the usage of workspace.

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Section: Methodsmentioning

confidence: 99%

Section: Motion Quality Indicatorsmentioning

confidence: 99%

Objective evaluation of prediction strategies for optimization-based motion cueing

et al. 2018

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“…He introduced the term coherence zone for the range of inertial motion amplitudes that were still perceived as coherent with a given visual motion amplitude. In [8], the effect of motion frequency on these coherence zones in passive flight simulation is investigated and in [9] the term phase coherence zone is introduced as the range of phase shifts for which inertial and visual motion are still perceived as realistic. As in real vehicles, where all motion stimuli are congruent, motion simulators should provide inertial motions that are within these coherence zones.…”

Section: Introductionmentioning

confidence: 99%

Continuous Subjective Rating of Perceived Motion Incongruence During Driving Simulation

Cleij

Venrooij

Pretto

et al. 2018

IEEE Trans. Human-Mach. Syst.

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“…All experimental setups had subjects judge wether or not visual and inertial cues matched in terms of amplitude 5-7 or phase. 4,8 Although much more data can be collected, there is now a basic understanding of how coherence zones are influenced by stimuli amplitude and frequency. However, before this knowledge can be applied to pilot-in-the-loop simulations, more information is needed as to how coherence zones change when the pilot is not fully concentrated on the visual and inertial cues, but actually has a task to perform, as for example, a manual control task.…”

Section: Introductionmentioning

confidence: 99%

Effect of Performing a Boundary-Avoidance Tracking Task on the Perception of Coherence Between Visual and Inertial Cues

Pais

Paassen

Wentink

2011

AIAA Modeling and Simulation Technologies Conference

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During flight simulation, the inertial and visual stimuli provided to the pilot differ considerably. For successful design of motion cueing algorithms it is necessary to gather knowledge on how pilots perceive the difference between visual and inertial cues. Some of the work done on this topic has concentrated on the concept of coherence zone. A coherence zone represents a range of inertial motion amplitudes, which although not being a match with the visual motion, are still perceived by humans as one realistic, coherent movement. To extend the knowledge on coherence zones an experiment was performed that tested the yaw motion coherence zone limits at two frequencies during passive and active situations. Subjects were required to perform a boundary-avoidance task as a mean to decrease the attention given to the perception task. This decrease in attention was thought to cause a widening of the perceived coherence zones. The boundary-avoidance tracking task had two levels of difficulty. The measured coherence zones did not change significantly with the addition of the control task. These results imply that unlike motion perception thresholds, coherence zones are little influenced by decreased levels of attention. This being true, for a range of tasks, such as supervisory tasks or procedural training in a flight simulator, pilot acceptance of the inertial cues might be measured in a passive manner and directly applied to the active scenario.

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Phase Coherence Zones in Flight Simulation

Cited by 9 publications

References 13 publications

Objective evaluation of prediction strategies for optimization-based motion cueing

Objective evaluation of prediction strategies for optimization-based motion cueing

Continuous Subjective Rating of Perceived Motion Incongruence During Driving Simulation

Effect of Performing a Boundary-Avoidance Tracking Task on the Perception of Coherence Between Visual and Inertial Cues

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