Abstract:The Eigenmode Distortion (EMD) analysis is a novel method for objective evaluation of simulator motion cueing fidelity, developed at Delft University of Technology. It expresses the distortions of the perceived motion cues in terms of the dynamic modes of a linear model of the vehicle and has been applied to assess rotorcraft simulations. This paper presents the adaptation of EMD for fixed wing aircraft, including performing the analysis at the pilot station instead of the centre of gravity. The method is appl… Show more
“…This paper extends the earlier work on the EMD method [9] by applying it to an asymmetrical flight condition. Equation 9shows the dimensional asymmetric EOM, which can be derived from flight dynamics.…”
Section: B Linearized Flight Modelsupporting
confidence: 52%
“…MPFs are useful to identify which modes are excited in a particular manoeuvre. In the experiment performed by Stoev et al [9], the short period eigenmode was excited by the pilot as illustrated by the dominant MPF. The short period is a desired mode necessary for performing manoeuvres, such as pitch captures, and is easily excited.…”
Section: Fig 2 Emd System Coupling E Eigenvector Distortion Analysismentioning
confidence: 99%
“…For this, the spiral mode was excluded. Pilot feedback from previous experiments indicated that simultaneous tuning could improve the realism of motion cues [9], and therefore = = 0.5 was chosen. For all configurations, a representative Dutch roll manoeuvre, in which the Dutch roll was excited by the pilot with a repeated rudder input, was simulated to ensure that the found MCA settings did not exceed the available motion space.…”
Section: A Independent Variables: Mca Configurationsmentioning
confidence: 99%
“…In the experiment, a series of pair-wise comparisons between the three MCA configurations were performed as a subjective evaluation. This format was based on the experiment by Stoev et al [9], which received positive feedback.…”
Section: Experiments Taskmentioning
confidence: 99%
“…Initially, EMD was developed for and applied to rotorcraft simulators [7]. Recent work of Stoev et al [9] has extended EMD to fixed-wing aircraft simulations and applied it to a linear model of the Cessna Citation 500 for symmetric flight in combination with the Classical Washout Algorithm (CWA) [1] as the MCA.…”
“…This paper extends the earlier work on the EMD method [9] by applying it to an asymmetrical flight condition. Equation 9shows the dimensional asymmetric EOM, which can be derived from flight dynamics.…”
Section: B Linearized Flight Modelsupporting
confidence: 52%
“…MPFs are useful to identify which modes are excited in a particular manoeuvre. In the experiment performed by Stoev et al [9], the short period eigenmode was excited by the pilot as illustrated by the dominant MPF. The short period is a desired mode necessary for performing manoeuvres, such as pitch captures, and is easily excited.…”
Section: Fig 2 Emd System Coupling E Eigenvector Distortion Analysismentioning
confidence: 99%
“…For this, the spiral mode was excluded. Pilot feedback from previous experiments indicated that simultaneous tuning could improve the realism of motion cues [9], and therefore = = 0.5 was chosen. For all configurations, a representative Dutch roll manoeuvre, in which the Dutch roll was excited by the pilot with a repeated rudder input, was simulated to ensure that the found MCA settings did not exceed the available motion space.…”
Section: A Independent Variables: Mca Configurationsmentioning
confidence: 99%
“…In the experiment, a series of pair-wise comparisons between the three MCA configurations were performed as a subjective evaluation. This format was based on the experiment by Stoev et al [9], which received positive feedback.…”
Section: Experiments Taskmentioning
confidence: 99%
“…Initially, EMD was developed for and applied to rotorcraft simulators [7]. Recent work of Stoev et al [9] has extended EMD to fixed-wing aircraft simulations and applied it to a linear model of the Cessna Citation 500 for symmetric flight in combination with the Classical Washout Algorithm (CWA) [1] as the MCA.…”
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