Study on Motion Cueing Algorithm of High-Fidelity Based on Fuzzy Logic

doi:10.16182/j.issn1004731x.joss.201703011

Abstract

Abstract: Because classical washout algorithm exists false cues and phase retardation, these problems cause the lack of motion proprioceptive fidelity in flight simulators. By combining human vestibular perception system and the theory of fuzzy logic control to regulate the feedback of its sensory error, the translational acceleration channel, the Tilt coordination channel and the angular velocity channel of classical wash out algorithm were compensated, respectively. Simulation and modeling was carried out by fuzzy logic washout algorithm, and simulation verification was conducted on a set of flight data within fuzzy logic washout algorithm. The simulation results show that the theory of fuzzy logic control, to a certain extent, overcomes the defect of false cues and phase retardation error. The proposed method not only has a high stability and reliability, but can effectively improve the dynamic fidelity of flight simulators.

Key words: fuzzy control, washout algorithm, flight simulator, dynamic fidelity

CLC Number:

TP391

Wang Hui, Zhu Daoyang, Ping Fan. Study on Motion Cueing Algorithm of High-Fidelity Based on Fuzzy Logic[J]. Journal of System Simulation, 2017, 29(3): 546-551.

References

[1] Schmidt S F.Motion Drive Signals for Piloted Flight Simulators[M]. USA: National Aeronautics and Space Administration, 1970.
[2] Grant P R, Reid L D.Motion Washout Filter Tuning: Rules and Requirements[J]. Journal of Aircraft (S0021-8669), 1997, 34(2): 145-151.
[3] Parrish R V, Dieudonne J E, Martin Jr D J. Coordinated Adaptive Washout for Motion Simulators[J]. Journal of Aircraft (S0021-8669), 1975, 12(1): 44-50.
[4] Sivan R, Ish-Shalom J, Huang J K.An Optimal Control Approach to the Design of Moving Flight Simulators[J]. Systems, Man and Cybernetics, IEEE Transactions on (S2168-2216), 1982, 12(6): 818-827.
[5] Telban Robert J, Cardullo F M.Motion cueing algorithm development: human-centered linear and nonlinear approaches [R]// Tech. rep., NASA/CR- 2005-213747, 2005. New York. USA: CASI, 2005, 5: 97-107.
[6] Song J B, Jung U J, Ko H D.Washout Algorithm with Fuzzy-based Tuning for A Motion Simulator[J]. KSME International Journal (S1226-4865), 2003, 17(2): 221-229.
[7] Asadi H, Mohamed S, Nahavandi S.Incorporating Human Perception with the Motion Washout Filter Using Fuzzy Logic Control[J]. Mechatronics, IEEE/ ASME Transactions on (S1083-4435), 2015, 20(6): 3276-3284.
[8] Hosman R, Van Der Vaart J C. Vestibular Models and Thresholds of Motion Perception. Results of Tests in a Flight Simulator [R]. Holland: Delft University of Technology, 1978.
[9] Young L R, Oman C M.Model for Vestibular Adaptation to Horizontal Rotation[J]. Aerospace Medicine (S0001-9402), 1969, 40(10): 1076-1080.
[10] 李士勇. 模糊控制·神经控制和智能控制理论 [M]. 哈尔滨: 哈尔滨工业大学出版社, 1998: 269-270.
(Li Shiyong.Fuzzy Control • Neural Control and Intelligent Control Theory [M]. Harbin, China: Harbin Institute of Technology Press, 1998: 269-270.)
[11] 孙增圻, 邓志东, 张再兴. 智能控制理论与技术 [M]. 北京: 清华大学出版社, 2011: 33-34.
(Sun Zengqi, Deng Zhidong, Zhang Zaixing, Intelligent Control Theory and Technology [M]. Beijing, China: Tsinghua University Press, 2011: 33-34.)

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