CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Application of Active Suspension System to Reduce Aircraft Vibration using PID Technique and Bees Algorithm

by Ali Reza Toloei, Milad Zarchi, Behrooz Attaran
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 6
Year of Publication: 2014
Authors: Ali Reza Toloei, Milad Zarchi, Behrooz Attaran
10.5120/17187-7368

Ali Reza Toloei, Milad Zarchi, Behrooz Attaran . Application of Active Suspension System to Reduce Aircraft Vibration using PID Technique and Bees Algorithm. International Journal of Computer Applications. 98, 6 ( July 2014), 17-24. DOI=10.5120/17187-7368

@article{ 10.5120/17187-7368,
author = { Ali Reza Toloei, Milad Zarchi, Behrooz Attaran },
title = { Application of Active Suspension System to Reduce Aircraft Vibration using PID Technique and Bees Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 6 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 17-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number6/17187-7368/ },
doi = { 10.5120/17187-7368 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:30.417469+05:30
%A Ali Reza Toloei
%A Milad Zarchi
%A Behrooz Attaran
%T Application of Active Suspension System to Reduce Aircraft Vibration using PID Technique and Bees Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 6
%P 17-24
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The dynamic load and vibration caused by landing impact and the unevenness of runway will result in airframe fatigue, discomfort of crew/passengers and the reduction of the pilot's ability to control the aircraft. The aim of the current paper is to design Proportional Integral Derivative classical controller based on Bees Intelligent Algorithm as the optimization technique for nonlinear model of active landing gear system that chooses damping and stiffness performance of suspension system at touchdown as optimization object. Optimal setting of controller parameters to achieve desirable time response using numerical software method based on Bees Algorithm is easier and more effective than other traditional methods because it does not need high experience and complex calculations and leads to better results. This research develops nonlinear two-dimensional mathematical model to describe landing gear system with oleo-pneumatic shock absorber and linear tire. Based on this model, the dynamic equations derived are used to investigate the behavior of an aircraft active landing gear system subject to runway disturbance excitation and the stability conditions of the landing system around static equilibrium position is studied according to the Routh-Hurwitz criterion. Simulink control system simulation software is utilized to validate the theoretical analysis of system stability and results comparison and adaptation of this paper with research of Wang and Xing about investigation of active landing gear system. Results of system numerical Simulation with optimized controller using Bees Algorithm in MATLAB software shows that the transmitted impact load to airframe, the vertical vibration of aircraft and time to return static equilibrium position at touchdown are significantly improved compared with other control performances.

References
  1. N. S. Currey, "Aircraft landing gear design: principles and practices, AIAA Education Series, AIAA (1998).
  2. R. Freymann, "Actively damped landing gear system, Landing Gear Design Loads Conference, No. 20, AGARD CP-484, 1991.
  3. R. Freymann, "An experimental–analytical routine for the dynamic quali?cation of aircraft operating on rough runway surfaces, AGARD R-731 (1987).
  4. T. Catt, D. Cowling, A. Shepherd, "Active landing gear control for improved ride quality during ground roll, SDL Report No. 232, Stirling Dynamics Limited, 1992.
  5. T. W. Lee, "Dynamic response of landing gears on rough repaired runway, Menasco Aero Systems Division (1998) 124–135.
  6. I. Ross, R. Edson, Application of active control landing gear technology to the A-10 aircraft, NASA CR-166104 (1983).
  7. W. E. Howell, J. R. Mc Gehee, R. H. Daugherty, W. A. Vogler, F-106B airplane active control landing gear drop test performance, Landing Gear Design Loads Conference No. 21, AGARD CP-484, 1991.
  8. C. H. Lucas, Modeling and validation of a navy A6-intruder actively controlled landing gear system, NASA TP-209124 (1999).
  9. I. Ross, R. Edson, An electronic control for an electro hydraulic active control landing gear for the F-4 aircraft, NASA CR-3552 (1982).
  10. I. P. Jocelyn, An overview of landing gear dynamics, NASA TM-209143 (1999).
  11. B. W. Payne, A. E. Dudman, B. R. Morris, M. Hockenhull, Aircraft dynamic response to damaged and repaired runways, AGARD CP-326 (1982).
  12. Y. H. Jia, Taxiing performance analysis of active control of landing gear, Acta Aeronautica et Astronautica Sinica 20 (6) (1999)545–548.
  13. G. L. Ghiringhelli, Testing of semiactive landing gear control for a general aviation aircraft, Journal of Aircraft 37 (4) (2000) 607–616.
  15. D. Karnopp, Active damping in road vehicle suspension system, Vehicle Systems Dynamics 12 (6) (1983) 291–316.
  16. R. M. Goodall, Active controls in ground transportation, A review of the state-of-the-art and future potential, Vehicle Systems Dynamics 12 (4) (1983) 225–257.
  17. J. K. Hedrick, The application of active and passive suspension techniques to improve vehicle performance, Final Report, US Department of Transportation, Contract DTRS5680-C-00018, 1983.
  18. WU Dong-su, GU Hong-bin, LIU Hui. GA-Based Model Predictive Control of Semi-Active Landing Gear. Chinese Journal of Aeronautics 20(2007) 47-54.
  19. Haitao Wang, J. T. Xing, W. G. Price, Weiji Li. An investigation of an active landing gear system to reduce airceaft vibeations caused by landing impacts and runway excitations. Journal of Sound and Vibration 317(2008)50-66.
  20. D. L. Xu, Y. R. Li, Mathematical model research on aircraft landing gear, Journal of System Simulation 17 (4) (2005) 831–833.
  21. P. Jin, H. Nie, Dynamic simulation model and parameter optimization for landing gear impact, Journal of Nanjing University of Aeronautics & Astronautics 35(5)(2003) 498–502.
  22. E. Bakker, H. B. Pacejka, L. Linder, New tire model with an application in vehicle dynamic studies, Progress in Technology 57 (1995)439–452.
  23. Leite J. P. B. and Topping B. H. V. "Improved Genetic Operators for Structural Engineering Optimization". Advances in Engineering Software, 1998. 29(7-9): pp. 529-562.
  24. Seeley T. D. "The Wisdom of the Hive: The Social Physiology of Honey Bee Colonies". Cambridge, Massachusetts; Harvard University Press. 1996
  25. Von Frisch K. Bees: Their Vision, Chemical Senses and Language. Revised Edition, Ithaca, N. Y. : Cornell University Press. 1976
  26. Camazine S. , Deneubourg J. -L. , Franks N. R. , Sneyd J. , Theraula G. , and Bonabeau E. Self-Organization in Biological Systems. Princeton: Princeton University Press. 2003
  27. Bonabeau E. , Dorigo M. , and Theraulaz G. Swarm Intelligence: from Natural to Artificial Systems. New York: Oxford University Press. 1999
  28. Karaboga D. An Idea Based on Honey Bee Swarm for Numerical Optimization. Turkiye: Erciyes University, Engineering Faculty, Computer Engineering Department. Technical Report. TR06. 2005
  29. Pham D. T. , Ghanbarzadeh A. , Koc E. , Otri S. , Rahim S. , and Zaidi M. The Bees Algorithm. Cardiff: Manufacturing Engineering Centre, Cardiff University. Technical Report. MEC 0501. 2005.
Index Terms

Computer Science
Information Sciences

Keywords

Aircraft Active Landing Gear PID Technique Bees Algorithm

Powered by PhDFocusTM