Optimizing Washout Algorithm Parameters Based on Flight Fidelity in Pitch Task

Jian Gao; S.T. Zheng; Hong Ren Li

doi:10.4028/www.scientific.net/AMR.108-111.1376

Paper Titles

RETRACTED: An Improved Ant Colony Optimization Supervised by PSO
p.1354

Protection System of Cooperative Network Based on Artificial Immune Theory
p.1360

Character Recognition Based on 2-D Histogram Image Threshold Segmentation
p.1366

Value Evaluation Model on Dual-Use Core Technology Integration Based on Gray Theory
p.1370

Optimizing Washout Algorithm Parameters Based on Flight Fidelity in Pitch Task
p.1376

Active Learning Based on New Localized Generalization Error Model for Training RBFNN
p.1381

Irrigation Water Compensation Control System Based on Fuzzy Neural Network
p.1386

An Adaptive Load Balancing Algorithm Based on Discrete Uniform Distribution
p.1392

Bouc-Wen Hysteresis Model Parameter Identification by Means of Hybrid Intelligent Technique
p.1397

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 108-111Optimizing Washout Algorithm Parameters Based on...

Optimizing Washout Algorithm Parameters Based on Flight Fidelity in Pitch Task

Abstract:

T Washout algorithm parameters based on flight fidelity in pitch task are optimized. After a review of classical washout algorithm, optimization requirement and function are specified. The results of an example with pitch task show that the optimization process can reduce the difficulty of manipulating vehicle, and decrease the motion system requirement.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 108-111)

Pages:

1376-1380

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.108-111.1376

Citation:

Cite this paper

Online since:

May 2010

Authors:

Jian Gao, S.T. Zheng, Hong Ren Li

Keywords:

Flight Fidelity, Motion System, Optimization, Washout Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Stewart, D. A Platform with six-degrees-of-freedom. in Proc. Inst. of Mechanical Engineers, vol. 180, part 1, no. 5, 1965-1966, pp.371-386.

Google Scholar

[2] Nahon M A, Reid L D. Simulator Motion-Drive Algorithms: A Designer's Perspective [J]. J Guidance, 1989, 13(2): 356-362.

Google Scholar

[3] Martin E. A. Motion and Force Simulation Systems I, Whole-body Motion Simulators. 13th Annual Flight & Ground Simulation Update, State University of New York at Binghamton. January (1997).

Google Scholar

[4] Peter R. G, Lloyd D. R. Motion Washout Filter Tuning: Rules and Requirements. AIAA-95-3408-CP.

Google Scholar

[5] Peter R. Grant, Bonnie Yam. Effect of Simulator Motion on Pilot Behavior and Perception. Journal of Aircraft. 2006, 43(6).

Google Scholar

[6] Sunjoo K. Advani. Revising Civil Simulator Standards-An Opportunity for Technological-Pull. Modeling and Simulation Technologies Conference. AIAA, 2006-6248.

DOI: 10.2514/6.2006-6248

Google Scholar

[7] Proposed Study of Simulation Validation/Fidelity for NASA Simulators. Ad Hoc Advisory Subcommittee Avionics, Controls and Human Factors, List of Definitions, Committee Tasks, and Study Scope, Nov. (1979).

Google Scholar

[8] Ronald A. Hess. Pilot Modeling With Applications to the Analytical Assessment of Flight Simulator Fidelity. AIAA, 2008-6682.

Google Scholar

[9] Hosman, R. J. A. W. Pilot's perception and control of aircraft motions. Ph.D. thesis, Delft University of Technology. Delft University Press, Delft.

Google Scholar

[10] Hosman, R. J. A. W., Advani, S. K., and Haeck, N., Integrated Design of Flight Simulator Motion Cueing Systems, Proceedings of the Flight Simulation Conference Developments in Simulator Systems- Integration and Effectiveness, Royal Aeronautical Society, London, 2002, p.16.

DOI: 10.1017/s000192400000049x

Google Scholar