Issue |
Wuhan Univ. J. Nat. Sci.
Volume 26, Number 6, December 2021
|
|
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Page(s) | 513 - 520 | |
DOI | https://doi.org/10.1051/wujns/2021266513 | |
Published online | 17 December 2021 |
Information Technology
CLC number: TP391.9;V211.73
A Design of Nonlinear Scaling and Nonlinear Optimal Motion Cueing Algorithm for Pilot’s Station
College of Intelligent Manufacturing, Wuhan Technical College of Communications, Wuhan 430065, Hubei, China
Received:
8
September
2021
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.
Key words: nonlinear optimal motion cueing algorithm (MCA) / nonlinear scaling and limiting / pilot’s station / dynamic fidelity
Biography: ZHU Daoyang, male, Lecturer, Master, research direction: flight simulation technology. E-mail: dyzhu_xg@aliyun.com
Foundation item: Supported by Natural Science Foundation of Hubei Province (2019CFB693) , Scientific Research Guiding Project of Education Department of Hubei Province (B2020418)
© Wuhan University 2021
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