A practical approach to motion simulation

Author:

SINACORI J.1

Affiliation:

1. Northrop Corp., Hawthorne, Calif.

Publisher

American Institute of Aeronautics and Astronautics

Reference15 articles.

1. are self-explanatory. Filter break frequency - rad/sec Decibels Axis transformationmatrix -Inertialto aircraft body axes Axis transformation matrix -Eulerratesto cockpit body rates Axis transformation matrix -Inertialto cockpit body axes Actuator total drive signal -wolts Acceleration of gravity - 32-2 ft/sec Frequency - cycles per second Roll axis filter gain Pitch axis filter gain Yaw axis filter gain Simulator beam length - ft Body roll rate - rad/sec Body pitch rate - rad/wec Body yaw rate -rad/secl Laplace operator - sec Longitudinal specific force -2ft/sec2Lateral specific force ft/sec Noxaml specific force - ft/sec Total yxeleratirm vector in earth axes - ft/sec Simulator fore-and-aft position - ft Simulator side position - ft Simulator vertical position - ft Euler roll angle -radians Euler pitch angle - radians Eular yaw angle - radians Fmquency - rad/sec Performancemeasure - rad/sec Aircraft Euler angles Cockpit rectilinear position Cockpit Beam Feedback Pilot observed Feedback pilot observed Leveling or derotation Initial or rest position Simulator

2. offered: 1. It is a critical task, i.e. one where human time delay is important, therefore, the subjects concern themselves with motion perception in the region of A, (about 3-4 rad/sec) and pay less attention to the region down to 0.5 rad/sec.

3. performance reaches a value between 0.5 - 1.0 it

4. [+Land [V such that the double integrals of [+g, are born&a ( h l a t o t does not exceed its position limits). This process i s illustrated below. Fig. 2 The Motion Simulation Process Stated verbally, the motion situation we are

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1. Motion Parameter Selection for Flight Simulators;AIAA Modeling and Simulation Technologies Conference;2015-06-18

2. Motion Simulation Experiments for Driver Behavior and Road Vehicle Dynamics;Journal of Computing and Information Science in Engineering;2011-09-13

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5. Optimal motion cueing for 5-DOF motion simulations via a 3-DOF motion simulator;Control Engineering Practice;2009-01

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