Research on fuzzy adaptive somatosensory algorithm for Flight Simulator

Authors

Wang Hui, College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
Baofeng Zhang, College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;

Abstract

Abstract: In order to improve the dynamic fidelity of flight simulator and make full use of the working space, the corresponding improvement scheme of the classical washout algorithm is proposed based on the Stewart motion platform. A two-way fuzzy adaptive elution algorithm is proposed.The algorithm is more in line with the sensory model of the human body by combining the two-way filtering algorithm improvement and the one-dimensional fuzzy adaptive adjustment to compensate the displacement of the high-pass acceleration channel according to the fuzzy rule. The results show that the improved two-way fuzzy adaptive filtering algorithm improves the displacement space from 11.3% of the classical washout algorithm to 66.7%, which extends the scope of platform movement greatly, optimizes the defects of false hints and phase delay errors, and enhances the flight simulator fidelity.

Recommended Citation

Hui, Wang and Zhang, Baofeng (2019) "Research on fuzzy adaptive somatosensory algorithm for Flight Simulator," Journal of System Simulation: Vol. 31: Iss. 10, Article 10.
DOI: 10.16182/j.issn1004731x.joss.17-0426
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss10/10

First Page

2052

Revised Date

2017-10-31

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0426

Last Page

2057

CLC

TP391.9

Recommended Citation

Wang Hui, Zhang Baofeng. Research on fuzzy adaptive somatosensory algorithm for Flight Simulator[J]. Journal of System Simulation, 2019, 31(10): 2052-2057.

DOI

10.16182/j.issn1004731x.joss.17-0426