Abstract
Motion cueing algorithms (MCA) are often applied in the motion simulators. In this paper, a nonlinear optimal MCA, taking into account translational and rotational motions of a simulator within its physical limitation, is designed for the motion platform aiming to minimize human’s perception error in order to provide a high degree of fidelity. Indeed, the movement sensation center of most MCA is placed at the center of the upper platform, which may cause a certain error. Pilot’s station should be paid full attention to in the MCA. Apart from this, the scaling and limiting module plays an important role in optimizing the motion platform workspace and reducing false cues during motion reproduction. It should be used along within the washout filter to decrease the amplitude of the translational and rotational motion signals uniformly across all frequencies through the MCA. A nonlinear scaling method is designed to accurately duplicate motions with high realistic behavior and use the platform more efficiently without violating its physical limitations. The simulation experiment is verified in the longitudinal/pitch direction for motion simulator. The result implies that the proposed method can not only overcome the problem of the workspace limitations in the simulator motion reproduction and improve the realism of movement sensation, but also reduce the false cues to improve dynamic fidelity during the motion simulation process.
Highlights
The purpose of the washout filter is to provide the motion cues representing realistic human perception, beside the motion must proceed within the bounds of the simulator workspace
Select nonlinear scaling parameters based on trialand-error and inefficient usage of the platform workspace, and to reduce the sensation error between the simulator and aircraft, while satisfying the constraints imposed by the platform boundaries, but it neglects the factor that the motion cueing is significantly different from high and low amplitude signal, and the solution of the Riccati equation is obtained offline for optimal motion cueing algorithm (MCA)
In the structure of the washout algorithm, no matter how classical, adaptive or optimal the MCA, they all have a scaling and limiting module to ensure that the washout signal conforms to the characteristics of the simulated actual movement, and the driver can drive a real aircraft in the simulator
Summary
The purpose of the washout filter is to provide the motion cues representing realistic human perception, beside the motion must proceed within the bounds of the simulator workspace. Asadi et al[8] proposed a non-linear scaling method based on genetic algorithms and optimal MCA to overcome problems pertaining to. Select nonlinear scaling parameters based on trialand-error and inefficient usage of the platform workspace, and to reduce the sensation error between the simulator and aircraft, while satisfying the constraints imposed by the platform boundaries, but it neglects the factor that the motion cueing is significantly different from high and low amplitude signal, and the solution of the Riccati equation is obtained offline for optimal MCA. The method of nonlinear scaling and limiting is adopted to deal with the input signal
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