Controlling the air craft pitch by tuning PID controller using CS vs FPA

Main Article Content

Chaiyo Thammarat
Suriyan Lahalertdecha
Weerapun Duangthongsuk

Abstract

The objective of this research is to presents the tuning of controllers using the optimization for controlling the pitch angle of the aircraft. Since the aircraft system is nonlinear system that it is hard to control and pitch control system is predominantly used nowadays in several aircraft. By employing classical controller such as Proportional Integral Derivative Controller (PID), pitch control system get the better dynamic performance and stability.  Introducing the well-known Lévy-based meta-heuristics for the optimizers, those are cuckoo search (CS) and flower pollination algorithm (FPA) for tuning of PID controllers. The comparison results shown that FPA is better than CS in terms of search speed while CS outperforms FPA in finding optimal solutions (minimum object function). By 9-comparison factors, FPA is better performance than CS.

Article Details

How to Cite
Thammarat, C., Lahalertdecha, S., & Duangthongsuk, W. (2023). Controlling the air craft pitch by tuning PID controller using CS vs FPA. SAU JOURNAL OF SCIENCE & TECHNOLOGY, 9(1), 57–71. Retrieved from https://ph01.tci-thaijo.org/index.php/saujournalst/article/view/251688
Section
Research Article

References

J. Shaji and R.B. Aswin, “Pitch control of flight system using dynamic inversion and PID controller,” International Journal of Engineering Research & Technology (IJERT),ISSN: 2278-0181 IJERTV4IS070502, vol. 4, no.7, July. 2015.

N. Wahid, N. Hassan, M.F. Rahmat and S. Mansor, “Application of intelligent controller in feedback control loop for aircraft pitch control,” Australian Journal of Basic and Applied Sciences, vol. 5, no.12, pp.1065-1074, 2011.

A. Tewari, Advanced Control of Aircraft Spacecraft and Rockets, Wiley, 2001.

R.C. Nelson, Flight Stability and Automatic Control, 2nd edition, 2007.

N. Minorsky, “Directional stability of automatically steered bodies,” American of Naval Engineering, vol. 4, no. 2, pp. 280-309, 1922.

K.H. Ang, G.Chong and Y. Li, “PID control system analysis, design, and technology,” IEEE Transactions on Control SystemsTechnology, vol. 13, no. 4, pp. 559-576, 2005.

M.Gopal, Control Systems Principles and Design, Second Edition, Tata McGraw Hill, 2002.

A. Abdulameer, M. Sulaiman, MSM Aras and D. Saleem, “Tuning methods of PID controller for DC motor speed control,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 3, no. 2, pp. 343- 349, Aug. 2016.

R. C. Dorf and R. H. Bishop, Modern Control Systems, Pearson Prentice Hall, 2017.

X. S. Yang, Engineering Optimization an Introduction with Metaheuristic Application, John Wiley & Sons, Inc., 2010.

X. S. Yang and S. Deb, “Cuckoo search via Lévy flights,” World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), pp. 210-214, 2009.

X.S Yang, “Flower pollination algorithm for global optimization”, in Proc. International Conference on Unconventional Computing and Natural (UCNC 2012), Springer, Berlin and Heidelberg, 2012, pp. 240-249.

M. Abdel-Basset, “A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems,” Library Hi Tech , vol. 35, no. 4, pp. 588-601, 2017 .

F.C. Chenand and H.K. Khalil, “Two-time-scale longitudinal control of airplanes using singular perturbation,” AIAA, Journal of Guidance, Navigation and Control, vol. 13, no. 6, pp. 952-960, 1990.

M. Zugaj and J. Narkiewicz, “Autopilot supported by nonlinear model following reconfigurable flight control system,” Journal of Aerospace Engineering, vol. 23, no. 4, pp. 339-347, 2010.

Z.M. Motea, H.Wahid, J. Zahid, S.H. Lwin and A.M. Hassan, “A comparative analysis of intelligent and PID controllers for an aircraft pitch control system,” Applications of Modelling and Simulation, vol. 2, no. 1, pp. 17-25, 2018.

N. Wahid and M. F. Rahmat, “Pitch control system using LQR and fuzzy logic controller,” IEEE Symposium on Industrial Electronics and Applications, vol. 3, no. 5, pp. 325- 337, Oct. 2010.

G. Sudha and S.N. Deepa, “Optimization for PID control parameters on pitch control of aircraft dynamics based on tuning methods,” Applied Mathematics &Information Sciences, vol. 10, no. 1, pp. 343-350, 2016.

T. Ljouad, A. Amine and M. Rziza, “A hybrid mobile object tracker based on the modified cuckoo search algorithm and the Kalman filter,” Pattern Recognition, vol. 47, no. 11, pp. 3597-3613, 2014.

V. Tamilselvan and T. Jayabarathi, “Multi objective flower pollination algorithm for solving capacitor placement in radial distribution system using data structure load flow analysis,” Archives of Electrical Engineering, vol. 65, no. 2, pp. 203-220, 2016.

H. Arrosida and M. E. Echsony, “Aircraft pitch control design using observer-state feedback control,” Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, vol 2, no 4, pp. 263-272, Nov. 2017.

X. Liu, S. Sun, P. Lan, and L. Du, “Dynamic surface attack angle control for aircraft considering actuator position saturation,” IEEE Chinese Guidance,Navigation and Control Conference (CGNCC), pp. 20–24, 2016.

V. S. Sowmya, S. P. Dharsini, R. P. Dharshini and P. Aravind, “Application of various PID controller tuning techniques for a temperature system,” International Journal of Computer Applications, vol. 103, no. 14, pp. 32-34, 2014.

B. C. Kuo and F. Golnaraghi, Automatic Control Systems, John Wiley & Sons, 2010.

H. O. Bansal, R. Sharma and P. R. Shreeraman, “PID controller tuning techniques: a review,” Journal of Control Engineering and Technology, vol. 2, pp. 168-176, 2012.

K. Hussain, M. N. M. Salleh, Y. A. Prasetyo and S. Cheng, “Personal best cuckoo search algorithm for global optimization,” International journal on advanced science engineering and information technology, vol. 8, no. 4, pp. 1209-1217, 2018.

X.S. Yang, and S.Deb , “Cuckoo search: recent advances and applications,” Neural Computing and Applications, vol. 24 no. 1, pp. 169-174, 2014.

X.S. Yang, “Flower pollination algorithm for global optimization,” in Proc. Unconventional Computation and Natural Computation, Springer, Berlin and Heidelberg, 2012, pp. 240-249.

R.N. Mantegna, “Fast, accurate algorithm for numerical simulation of Levy stable stochastic processes,” Physical Review E, vol. 49, no. 5, pp. 4677-4683, 1994.

X.S. Yang, M. Karamanoglu and X.He, “Flower pollination algorithm: a novel approach for multi objective optimization,” Engineering Optimization, vol. 46, no. 9, pp. 1222-1237, 2014.

F. T.Johnson, E. T. N, and N. J. Yu, “Thirty years of development and application of CFD at Boeing commercial airplanes, seattle,” Computers & Fluids, vol. 34, no. 10, pp. 1115– 1151, Dec. 2005.

M. V. Cook, Flight Dynamics Principles : A Linear Systems Approach To Aircraft Stability And Control, Butterworth-Heinemann, 2013.

V. Chugh and J. Ohrinn, “GA tuned LQR and PID controller for aircraft pitch control,” in Proc. 2014 IEEE 6th India International Conference on Power Electronics (IICPE), 8-10 Dec. 2014 .