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Model compensation control of composite vertical take-off and landing UAV

Published online by Cambridge University Press:  16 September 2024

G.Y. Qi*
Affiliation:
School of Control Science and Engineering, Tiangong University, Tianjin, China
X.R. Zhang
Affiliation:
School of Control Science and Engineering, Tiangong University, Tianjin, China
L. Xu
Affiliation:
School of Mechanical Engineering, Tiangong University, Tianjin, China
*
Corresponding author: G.Y. Qi; Email: [email protected]

Abstract

The unmanned aerial vehicle (UAV) system for composite vertical take-off and landing (VTOL) is a complex, highly coupled, and nonlinear system which is sensitive to external disturbances and model uncertainties. The composite VTOL UAV system consists of a multi-rotor section and a fixed-wing section. To improve observation accuracy, the compensation function observer (CFO) uses a new structure that includes velocity information. The CFO is utilised to estimate the uncertainty and the external disturbances of the system model, which performs superior estimation accuracy compared to the extended state observer (ESO). In the modeling process of the VTOL UAV, the aerodynamic moment is calculated by means of the cross-product operation of force and force arm, which solves the problem of over-reliance on aerodynamic parameters in the traditional modeling approach. The controlled object is refined by CFO, and model compensation control (MCC) is used to realise the velocity and attitude control of the composite VTOL. The numerical simulation of MATLAB/Simulink and hardware-in-loop simulation (HIL) of Rflysim were implemented, and which were used to compare the MCC, active disturbance rejection control (ADRC), and proportion integration differentiation (PID). The simulation results confirm the superiority of MCC in controlling composite VTOL UAVs in terms of anti-disturbance and tracking speed.

Type
Research Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

Wu, S.T. Flight Control System, Beihang University Press, 2013.Google Scholar
Ducard, G.J.J. and Allenspach, M. Review of designs and flight control techniques of hybrid and convertible VTOL, Aerosp. Sci. Technol., November 2021, 118, p. 107035.CrossRefGoogle Scholar
Rehan, M., Akram, F., Shahzad, A., Shams, T.A. and Ali, Q. Vertical take-off and landing hybrid unmanned aerial vehicles: An overview, Aeronaut. J., April 2022, 126, (1306), pp 20172057.CrossRefGoogle Scholar
Matušů, R. and Prokop, R. Robust stabilization of oblique wing aircraft model using PID controller, IFAC-PapersOnLine, 2015, 48, (14), pp 265270.CrossRefGoogle Scholar
Guo, X.T., Qi, G.Y., Li, X. and Ma, S.L. Chaos control of small-scale UAV helicopter based on high order differential feedback controller, Int. J. Control, September 2022, 95, (9), pp 24732484.CrossRefGoogle Scholar
Lu, B. Research on the total energy control system of composite VTOL UAV Based on Px4, North China University of Technology, 2020.CrossRefGoogle Scholar
Manzoor, T., Xia, Y.Q., Zhai, D.H. and Ma, D. Trajectory tracking control of a VTOL unmanned aerial vehicle using offset-free tracking MPC, Chin. J. Aeronaut., July 2020, 33, (7), pp 20242042.CrossRefGoogle Scholar
Mughees, A., Ahmad, I., Mughees, N. and Mughees, A. Conditioned adaptive barrier-based double integral super twisting SMC for trajectory tracking of a quadcopter and hardware in loop using IGWO algorithm, Expert Syst. Appl., January 2024, 235, p 121141.CrossRefGoogle Scholar
Yang, Y.J., Zhu, J.H., Yuan, X.M., Wang, X.Y., Kuang, M.C. and Shi, H. Dynamic characteristics analysis and robust transition control of tail-sitter VTOL UAVs, Aerosp. Sci. Technol., February 2024, 145, p 108868.CrossRefGoogle Scholar
Qi, G.Y., Deng, J.H., Li, X. and Yu, X.C. Compensation function observer-based model-compensation backstepping control and application in anti-inference of quadrotor UAV, Control Eng. Pract., November 2023, 140, p 105633.CrossRefGoogle Scholar
Yao, Q.Q. and Qi, G.Y. Model compensation optimal control for quadrotor UAV system, Contr Theory Appl., 2023.Google Scholar
Yu, B., Kim, S. and Suk, J. Robust control based on ADRC and DOBC for Small-Scale Helicopter, IFAC-PapersOnLine, 2019, 52, (12), pp 140145.CrossRefGoogle Scholar
He, H.X. and Duan, H.B. A multi-strategy pigeon-inspired optimization approach to active disturbance rejection control parameters tuning for vertical take-off and landing fixed-wing UAV, Chin. J. Aeronaut., January 2022, 35, (1), pp 1930.CrossRefGoogle Scholar
Han, J.Q. From PID to active disturbance rejection control, IEEE Trans. Ind. Electron., 2009, 56, (3), pp 900906.CrossRefGoogle Scholar
Sun, R.J., Zhou, Z. and Zhu, X.P. Finite-time terminal sliding mode attitude control for tailless full-wing configuration UAVs based on extended state observers and auxiliary compensators, ISA Trans., January 2024, 144, pp 282307.CrossRefGoogle ScholarPubMed
Qi, G.Y., Li, X. and Chen, Z.Q. Problems of extended state observer and proposal of compensation function observer for unknown model and application in UAV, IEEE Transactions on Systems Man Cybernetics-Systems, May 2021, 52, (5), pp 28992910.CrossRefGoogle Scholar
Niu, Y.B., Yan, X.F., Wang, Y.Z. and Niu, Y.Z. 3D real-time dynamic path planning for UAV based on improved interfered fluid dynamical system and artificial neural network, Adv. Eng. Inform., January 2024, 59, p 102306.CrossRefGoogle Scholar
Xia, Y., Shao, X.L., Ding, T.Y. and Liu, J. Prescribed intelligent elliptical pursuing by UAVs: A reinforcement learning policy, Expert Syst. Appl., September 2024, 249, p 123547.CrossRefGoogle Scholar
Quan, Q. Introduction to Multicopter Design and control, Springer, 2017.CrossRefGoogle Scholar
Li, S.H., Sun, Z.X. and Talpur, M.A. A finite time composite control method for quadrotor UAV with wind disturbance rejection, Comput. Electr. Eng., October 2022, 103, p 108299.CrossRefGoogle Scholar
Beard, R.W. and McLain, T.W. Small Unmanned Aircraft: Theory and Practice, Princeton University Press, 2012.CrossRefGoogle Scholar
Lu, H., Gao, L., Yan, Y.D., Hou, M.Z. and Wang, C.L. Wind disturbance compensated path-following control for fixed-wing UAVs in arbitrarily strong winds, Chin. J. Aeronaut., February 2024, 37, (2), pp 431445.CrossRefGoogle Scholar
Durán-Delfín, J.E., García-Beltrán, C.D., Guerrero-Sánchez, M.E., Valencia-Palomo, G. and Hernández-González, O. Modeling and passivity-based control for a convertible fixed-wing VTOL, Appl. Math. Comput., January 2024, 461, p 128298.Google Scholar
Qi, G.Y., Chen, Z.Q. and Yan, Z.Z. High order differential feedback control for nonlinear systems, Chaos, Solitons Fractals, July 2008, 37, (1), pp 308315.CrossRefGoogle Scholar
Qi, G.Y., Hu, J.B., Li, L.Y. and Li, K. Integral compensation function observer and its application to disturbance-rejection control of QUAV attitude, IEEE Trans. Cybernet., January 2024.CrossRefGoogle Scholar
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