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Finite-Time Control of Wing-Rock Motion for Delta Wing Aircraft Based on Whale-Optimization Algorithm
Abstract
The rise of wing-rock motion in delta-wing aircraft has an adverse effect on the manoeuvrability of aircraft and it may result in its crash. This study presents a finite-time control design to tackle the dynamic motion due to the Wing-Rock effect in delta-wing aircraft. The control design is developed based on the methodology of Super Twisting Sliding Mode Control (STSMC). The Lyapunov stability analysis has been pursued to ensure asymptotic convergence of errors and to determine the finite time. The design of STSMC leads to the appearance of design parameters, which have a direct impact on the dynamic performance of the controlled system. To avoid the conventional tuning of these parameters and to have an optimal performance of the proposed controller, a modern optimization technique has been proposed based on Wale Optimization Algorithm. A comparison study between optimal and non-optimal finite-time super twisting sliding mode controllers has been established and their effectiveness has been verified via numerical simulation using MATLAB programming format.
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Ajel, A.R., Humaidi, A.J., Ibraheem, I.K., and Azar, A.T. (2021). Robust model reference adaptive control for tail-sitter vtol aircraft. Actuators, 10(7), 162, 1-19.
Alaq, F., Humaidi, A. J., Al-Dujaili, A., and Ibraheem, K.I. (2021). Robust super-twisting sliding control of pam-actuated manipulator based on perturbation observer. Cogent Engineering, 7(1858393), 1-30.
Al-Azza, A. A., Al-Jodah, A. A., and Harackiewicz, F. J. (2015). Spider monkey optimization: A novel technique for antenna optimization. IEEE Antennas and Wireless Propagation Letters, 15(2015), 1016-1019.
Al-Dujaili, A. Q., Falah, A., Humaidi, A. J., Pereira, D. A., and Ibraheem, I. K. (2020). Optimal super-twisting sliding mode control design of robot manipulator: Design and comparison study. International Journal of Advanced Robotic Systems, 7(6), 1–17.
Al-Obaidi, A. S. M., Al-Qassar, A., Nasser, A. R., Alkhayyat, A., Humaid, A. J., and Ibraheem, I. K. (2021). Embedded design and implementation of mobile robot for surveillance applications. Indonesian Journal of Science and Technology, 6(2), 427-440.
Al-Qassar, A. A., Abdu-Alkareem, A. I., Hasan, A. F. Hasan, Humaidi, A. J., Ibraheem, K. I., Azar, A.T., and Hameed, A. H. (2021a). Grey-wolf optimization better enhances the dynamic performance of roll motion for tail-sitter vtol aircraft guided and controlled by STSMC. Journal of Engineering Science and Technology (JESTEC), 16(3), 1932 - 1950.
Al-Qassar, A.A., Al-Dujaili, A.Q., Hasan, A.F., Humaidi, A.J., Ibraheem, I.K., and Azar, A.T. (2021b). Stabilization of single-axis propeller-powered system for aircraft applications based on optimal adaptive control design. Journal of Engineering Science and Technology (JESTEC), 16(3), 1851-1869.
Castellanos, J. C., Suárez F. C., and Sofrony, E. J. (2021). Review of L1 adaptive control for solving the wing rock problem. Journal of Engineering and Applied Sciences, 16(9), 296-303.
Eftekhari, H., Al-Obaidi, A. S. M., and Eftekhari, S. (2020). The effect of spoiler shape and setting angle on racing cars aerodynamic performance. Indonesian Journal of Science and Technology, 5(1), 11-20.
Eftekhari, S., and Al-Obaidi, A. S. M. (2019). Investigation of a cruising fixed wing mini unmanned aerial vehicle performance optimization. Indonesian Journal of Science and Technology, 4(2), 280-293.
Elzebda, J. M., Nayfeh A. H., and Mook D. T. (1989). Development of an analytical model of wing rock for slender delta wings. Journal of Aircraft. 26(8), 737–743.
Feng, Z., and Fei, J. (2018). Design and analysis of adaptive Super-Twisting sliding mode control for a micro-gyroscope. PLoS ONE, 3(2018), 1-18.
Gonz´alez, A., Ra´ul, O. (2005). Adaptive control scheme for plants with time-varying structure using on-line parameter estimation. Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005 Seville, Spain, December 12-15, 2005, 2225-2229.
Guglieri, G. (2012). A comprehensive analysis of wing rock dynamics for slender delta wing configurations. Nonlinear Dynamics, 69(4), 1559–1575.
Guglieri, G., and Satori, D. (2013). Design of a sliding mode control for wing rock suppression in highly-swept wing aircraft. International Journal of Aerospace Sciences, 2(1), 1-10.
Hameed, A. H, Al-Dujaili, A.Q., Humaidi, A. J., and Hussein, H.A. (2019). Design of terminal sliding position control for electronic throttle valve system: a performance comparative study. International Review of Automatic Control (I.RE.A.CO.), 12(5), 251-260.
Hsu, C., and Lan, C. E. (1985). Theory of wing rock. Journal of Aircraft, 22(10). 920–924.
Hu, H., Bai, Y., and Xu, T. (2016). Whale optimization algorithm with inertia weight. Wseas Transactions on Computers, 15(2016), 319-326.
Humaidi, A. J., and Hameed, A. H. (2017). Robust MRAC for a wing rock phenomenon in delta wing aircrafts. AUT Journal of Modeling and Simulation, 49(1), 113-122.
Humaidi, A. J., and Hameed, A.H. (2018). PMLSM position control based on continuous projection adaptive sliding mode controller. Systems Science and Control Engineering, 6(3), 242-252.
Humaidi, A.J., and Alaq, F. H. (2019b). Particle swarm optimization–based adaptive super-twisting sliding mode control design for 2-degree-of-freedom helicopter. Measurement and Control Journal, 52(9-10), 1403-1419.
Humaidi, A.J., Najem, H.T., Al-Dujaili, A.Q., Pereira, D.A., Ibraheem, I.K., and Azar, A.T. (2021). Social spider optimization algorithm for tuning parameters in PD-like interval type-2 fuzzy logic controller applied to a parallel robot. Measurement and Control, 54(3-4), 1-21.
Ignatyev, D.I. (2018). Neural network adaptive control of wing-rock motion of aircraft model mounted on three-degree-of-freedom dynamic rig in wind tunnel. Progress in Flight Dynamics, Guidance, Navigation, and Control, 10(2018), 73-86.
Liu, Z. L., and Su C. Y. (2004). Control of wing rock phenomenon with a variable universe fuzzy controller. Proceeding of the 2004 American Control Conference Boston, Massachusetts June 30 - July 2, 2004, 1719-1724.
Mirjalili, S. (2016). SCA: A sine cosine algorithm for solving optimization problems. Knowledge-Based Systems, 96(2016), 120-133.
Mirjalili, S., and Lewis, A. (2016). The whale optimization algorithm. Advance in Engineering Software, 95(2016), 51-67.
Moezi, S.A., Zakeri, E., and Zare, A. (2018). A generally modified cuckoo optimization algorithm for crack detection in cantilever Euler-Bernoulli beams. Precision Engineering, 52(2018), 227-241.
Rana, N., Abd Latiff, M. S., and Chiroma, H. (2020). Whale optimization algorithm: A systematic review of contemporary applications, modifications and developments. Neural Computing and Applications, 32(2020), 16245–16277.
Roshanian, J., and Rahimzadeh, E. (2020). A generalization for model reference adaptive control and robust model reference adaptive control adaptive laws for a class of nonlinear uncertain systems with application to control of wing rock phenomenon. International Journal of Engineering, 33(11), 2372-2383.
Saleh, M.H., Al-Qassar, A., Othman, M.Z., and Mahdi, A.S. (2010). Development of the cross-coupling phenomena of MIMO flight system using fuzzy logic controller. Journal of Engineering Science and Technology (JESTEC), 5(1), 85-93.
Wu, D. W., Chen, M., Gong, H. J., and Ye, H. (2014, June). Control of wing rock based on high order sliding mode disturbance observer. Proceeding of the 11th World Congress on Intelligent Control and Automation (pp. 873-878). IEEE.
Yan, Z., Wang, S., Liu, B., and Li, X. (2018). Application of whale optimization algorithm in optimal allocation of water resources. E3S Web of Conferences, 53(2018), 04019.
Yue, Z., Zhang, S., and Xiao, W. (2020). A novel hybrid algorithm based on grey wolf optimizer and fireworks algorithm. Sensors, 20(7), 2147.
DOI: https://doi.org/10.17509/ijost.v6i3.37922
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