Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (10): 2052-2057.doi: 10.16182/j.issn1004731x.joss.17-0426

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Research on fuzzy adaptive somatosensory algorithm for Flight Simulator

Wang Hui, Zhang Baofeng   

  1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2017-09-11 Revised:2017-10-31 Online:2019-10-10 Published:2019-12-12

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.

Key words: dual filter, fuzzy adaptive, washout algorithm, displacement compensation, flight simulator

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