Abstract
Parallel robotic mechanisms are generally used in flight simulators with a motion-cueing algorithm to create an unlimited motion feeling of a simulated medium in a bounded workspace of the simulator. A major problem in flight simulators is that the simulation has an unbounded space and the manipulator has a limited one. Using a washout filter in the motion-cueing algorithm overcomes this. In this study, a low-cost six degrees of freedom (DoF) desktop parallel manipulator is used to test a classical motion-cueing algorithm; the algorithm's functionality is confirmed with a Simulink real-time environment. Translational accelerations and angular velocities of the simulated medium obtained from FlightGear flight simulation software are processed through a generated washout filter algorithm and the simulated medium's motion information is transmitted to the desktop parallel robotic mechanism as a set point for each leg. The major issues of this paper are designing a desktop simulation system, controlling the parallel manipulator, communicating between the flight simulation and the platform, designing a motion-cueing algorithm and determining the parameters of the washout filters.
Highlights
Flight simulators are necessary for studies related to vehicle design and tests, and simulator systems help us understand pilot behaviour that is close to reality
Emre Omurlu: 11 Realization of a Desktop Flight Simulation System for Motion-cueing Studies results obtained are based on a classical washout algorithm, further investigation is to be performed using extensive algorithms like adaptive, optimal and model predictive washout structures
This paper presents a novel and economical desktop flight simulator system
Summary
Flight simulators are necessary for studies related to vehicle design and tests, and simulator systems help us understand pilot behaviour that is close to reality. It was discovered that the image a pilot senses is based on differences in the optical workflow, which is a dynamic model the brain uses to solve a specific motion and helps the pilot predict absolute velocity, distance and relative spatial range This image signal is effective for understanding major tasks like velocity of the vehicle, distance from objects and lateral control [4]. Defusing the wrong cues at the actuator extensions and providing a smooth simulation environment is an advantage of the adaptive algorithm but due to the varying structure of the algorithm, there are sometimes gaps in motion perception.
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