Abstract
The conversion mode control scheme for tilt-rotor aircraft is provided with a switched Takagi-Sugeno (T-S) fuzzy modeling method and an adaptive anti-disturbance reference model tracking technique. In order to describe the dynamic features of the tilting process, a switched T-S fuzzy model is constructed with respect to the inclination angle. Compared to the linearized model, the initial nonlinear characteristics of the mathematical description are retained by the fuzzy modeling process, including the nonlinear disturbance input. Hence, an adaptive controller is designed to eliminate the adverse impact of composite disturbances caused by the rotor effect and the natural wind, which guarantees an \({\mathcal {L}}_{2}\)-\({\mathcal {L}}_{\infty }\) performance of the corresponding error system. Furthermore, a simulation result with respect to the XV-15 tilt-rotor aircraft is given to verify the effectiveness of the proposed control scheme.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Sheng, H., Zhang, C., Xiang, Y.: Mathematical modeling and stability analysis of tiltrotor aircraft. Drones 6(4), 92 (2022)
Wang, Z., Huang, J., Yi, M., Lu, S.: A dynamic RCS and noise prediction and reduction method of coaxial tilt-rotor aircraft based on phase modulation. Sensors 22(24), 9711 (2022)
Cardoso, D.N., Esteban, S., Raffo, G.V.: A new robust adaptive mixing control for trajectory tracking with improved forward flight of a tilt-rotor UAV. ISA Trans. 110, 86–104 (2021)
Bauersfeld, L., Spannagl, L., Ducard, G.J., Onder, C.H.: MPC flight control for a tilt-rotor VTOL aircraft. IEEE Trans. Aerosp. Electron. Syst. 57(4), 2395–2409 (2021)
Lv, Z., Wu, Y., Zhao, Q., Sun, X.: Design and control of a novel coaxial tilt-rotor UAV. IEEE Trans. Ind. Electron. 69(4), 3810–3821 (2021)
Wu, W., Chen, R.: An improved online system identification method for tiltrotor aircraft. Aerosp. Sci. Technol. 110, 106491 (2021)
Padfield, G., Lu, L.: The potential impact of adverse aircraft pilot couplings on the safety of tilt rotor operations. Aeronaut. J. 126(1304), 1617–1647 (2022)
Wang, Z., Wang, Q., Yu, H., Duan, D., Ding, Z., Li, J.: Trimming analysis method of quad tilt rotor based on aerodynamic interference model. J. Aircr. 58(2), 253–265 (2021)
Qu, S., Zhu, G., Su, W., Swei, S.S.-M.: LPV model based adaptive MPC of an eVTOL aircraft during tilt transition subject to motor failure. Int. J. Control Autom. Syst. 21(2), 339–349 (2023)
Zheng, Q., Xu, S., Du, B.: Quantized guaranteed cost output feedback control for nonlinear networked control systems and its applications. IEEE Trans. Fuzzy Syst. 30(7), 2402–2411 (2021)
Öner, K.T., Çetinsoy, E., Sirimoğlu, E., Hançer, C., Ünel, M., Akşit, M.F., Gülez, K., Kandemir, I.: Mathematical modeling and vertical flight control of a tilt-wing UAV. Turk. J. Electr. Eng. Comput. Sci. 20(1), 149–157 (2012)
Hernandez-Garcia, R.G., Rodriguez-Cortes, H.: Transition flight control of a cyclic tiltrotor UAV based on the gain-scheduling strategy. In: 2015 International Conference on Unmanned Aircraft Systems (ICUAS). IEEE, pp. 951–956 (2015)
Righetti, A., Muscarello, V., Quaranta, G., et al.: Linear parameter varying models for the optimization of tiltrotor conversion maneuver. In: Annual Forum Proceedings, pp. 280–287 (2017)
Li, Y., Tong, S.: Command filtered based fuzzy adaptive control design for MIMO switched nonstrict feedback nonlinear systems. IEEE Trans. Fuzzy Syst. 25(3), 668–681 (2016)
Chen, C., Zhang, J., Wang, N., Shen, L., Li, Y.: Conversion control of a tilt tri-rotor unmanned aerial vehicle with modeling uncertainty. Int. J. Adv. Robot. Syst. 18(4), 17298814211027032 (2021)
Li, H., Zheng, X., He, H., Liao, L.: Design and longitudinal dynamics decoupling control of a tilt-rotor aerial vehicle with high maneuverability and efficiency. IEEE Robot. Autom. Lett. 8(3), 1191–1198 (2022)
Yu, X., Chen, R., Wang, L., Yan, X., Yuan, Y.: An optimization for alleviating pilot workload during tilt rotor aircraft conversion and reconversion maneuvers. Aerosp. Sci. Technol. 129, 107854 (2022)
Krokavec, D., Filasová, A.: State estimation of positive switched interval systems with Metzler-Takagi-Sugeno fuzzy models. Machines 11(2), 290 (2023)
Narayanan, G., Ali, M.S., Zhu, Q., Priya, B., Thakur, G.K.: Fuzzy observer based consensus tracking control for fractional order multi-agent systems under cyber attacks and its application to electronic circuits. IEEE Trans. Netw. Sci. Eng. 10(2), 698–708 (2023)
Lyu, B., Liu, C., Yue, X.: Hybrid nonfragile intermediate observer based T-S fuzzy attitude control for flexible spacecraft with input saturation. Aerosp. Sci. Technol. 128, 107753 (2022)
Shao, S., Xia, R., Li, W., Wu, Q., Feng, K., Chen, H.: Dissipativity based anti-disturbance event triggered tracking control of time delay switched linear systems and its application to the conversion mode of XV-15 tilt-rotor aircraft. Discret. Contin. Dyn. Syst.-S (2023). https://doi.org/10.3934/dcdss.2023090
Rahman, M.Z.U., Leiva, V., Martin-Barreiro, C., Mahmood, I., Usman, M., Rizwan, M.: Fractional transformation based intelligent \(\cal{H} _{\infty }\) controller of a direct current servo motor. Fractal Fract. 7(1), 29 (2023)
Yang, D., Zong, G., Su, S.-F.: \(\cal{H} _{\infty }\) tracking control of uncertain markovian hybrid switching systems: a fuzzy switching dynamic adaptive control approach. IEEE Trans. Cybern. 52(5), 3111–3122 (2020)
Chen, Y., Liu, L., Qian, W., Liu, Y., Alsaadi, F.E.: \(\cal{L} _{2}\)-\(\cal{L} _{\infty }\) state estimation for discrete time switched neural networks with time varying delay. Neurocomputing 282, 25–31 (2018)
Jiang, X., Tian, S., Zhang, W.: Weighted \(\cal{H} _{\infty }\) performance analysis of nonlinear stochastic switched systems: a mode-dependent average dwell time method. Int. J. Fuzzy Syst. 22(5), 1454–1467 (2020)
Zhang, H., Shi, Y., Mehr, A.S.: Robust energy-to-peak filtering for networked systems with time varying delays and randomly missing data. IET Control Theory Appl. 4(12), 2921–2936 (2010)
Zheng, Q., Guo, X., Zhang, H.: Mixed \(\cal{H} _{\infty }\) and passive filtering for a class of nonlinear switched systems with unstable subsystems. Int. J. Fuzzy Syst. 20(3), 769–781 (2018)
Xing, L., Zhang, J., Liu, C., Zhang, X.: Fuzzy logic based adaptive event triggered sliding mode control for spacecraft attitude tracking. Aerosp. Sci. Technol. 108, 106394 (2021)
Wang, Y., Jiang, B., Wu, Z., Xie, S., Peng, Y.: Adaptive sliding mode fault tolerant fuzzy tracking control with application to unmanned marine vehicles. IEEE Trans. Syst. Man Cybern. 51(11), 6691–6700 (2020)
Snyder, S., Zhao, P., Hovakimyan, N.: Adaptive control for linear parameter varying systems with application to a VTOL aircraft. Aerosp. Sci. Technol. 112, 106621 (2021)
Xu, Y., Hu, Q., Shao, X.: Composite adaptive attitude control for combined spacecraft with inertia uncertainties. Aerosp. Sci. Technol. 131, 107984 (2022)
Hespanha, J.P., Morse, A.S.: Stability of switched systems with average dwell time. In: Proceedings of the 38th IEEE Conference on Decision and Control, vol. 3, pp. 2655–2660 (1999)
Xie, J., Yang, D., Zhao, J.: Composite anti-disturbance model reference adaptive control for switched systems. Inf. Sci. 485, 71–86 (2019)
Sang, Q., Tao, G.: Adaptive control of piecewise linear systems: the state tracking case. IEEE Trans. Autom. Control 57(2), 522–528 (2011)
Wu, C., Zhao, J.: \(\cal{H} _{\infty }\) adaptive tracking control for switched systems based on an average dwell time method. Int. J. Syst. Sci. 46(14), 2547–2559 (2015)
Ferguson, S.W.: A mathematical model for real time flight simulation of a generic tilt-rotor aircraft. NASA CR-166536 (1988)
Li, W., Shi, S., Chen, M., Shao, S., Wu, Q.: Switching modeling and bumpless transfer tracking control for the conversion mode of tilt-rotor aircraft. Trans. Inst. Meas. Control. 45(11), 2103–2114 (2023)
Funding
This work was supported in part by the Hong Kong, Macao and Taiwan Science and Technology Cooperation Project of Special Foundation in Jiangsu Science and Technology Plan under Grant BZ2023057, National Natural Science Foundation of China (62103186), Natural Science Foundation of Jiangsu Province of China (BK20210285), and China Postdoctoral Science Foundation (2021TQ0151, 2021M691571).
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Li, W., Shi, S., Chen, M. et al. Adaptive Tracking Control for the Conversion Mode of Tilt-Rotor Aircraft with Switched Fuzzy Modeling. Int. J. Fuzzy Syst. 26, 1203–1214 (2024). https://doi.org/10.1007/s40815-023-01661-4
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DOI: https://doi.org/10.1007/s40815-023-01661-4