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SCIENTIA SINICA Informationis, Volume 49, Issue 5: 585-598(2019) https://doi.org/10.1360/N112018-00342

Robust tracking control of variable swept-wing near space vehicle based on disturbance observers

More info
  • ReceivedDec 30, 2018
  • AcceptedMar 10, 2019
  • PublishedMay 8, 2019

Abstract

In this study, we establish a nonlinear multi-model switching system for variable swept-wing aircraft based on the characteristics of multiple working modes and the large flight envelope. The tracking control of the flight altitude and speed during backswept varying process is studied. To reduce the uncertainty and external unknown disturbance in the attitude system, a nonlinear disturbance observer is proposed to estimate the complex disturbance. Moreover, a sliding mode attitude controller is designed to maintain a good attitude tracking performance. The average dwell time method is employed to prove that the designed controller offers switching system stability. Finally, simulation results are presented to confirm the effectiveness of the proposed method.


Funded by

国家自然科学基金(61803207,61751210)

江苏省自然科学基金(BK20171417)


References

[1] Wang Y F. Robust adaptive coordinative control for near space vehicle based on multiple models switching. Dissertation for Ph.D. Degree. Nanjing: Nanjing University of Aeronautics and Astronautics, 2012. Google Scholar

[2] Lainiotis D G, Deshpande J G, Upadhyay T N. Optimal adaptive control: A non-linear separation theorem?. Int J Control, 1972, 15: 877-888 CrossRef Google Scholar

[3] Gu C F. Multi-modal switching control study for near space morphing vehicle. Dissertation for Master Degree. Nanjing: Nanjing University of Aeronautics and Astronautics, 2016. Google Scholar

[4] Zhang Q, Wu Q X, Jiang C S, et al. Robust adaptive backstepping design for near space vehicle. Control Eng China, 2013, 20: 0204-05. Google Scholar

[5] Pang J. Modeling and flight control for near space vehicles with an oblique wing. Dissertation for Master Degree. Nanjing: Nanjing University of Aeronautics and Astronautics, 2013. Google Scholar

[6] Han L Y, Chen M, Wu Q X, et al. Sliding mode control using disturbance observer for a flexible link robot. In: Proceedings of 2016 IEEE 14th International Workshop on Variable Structure Systems, 2016. 448--453. Google Scholar

[7] Zhang Z, Wang F, Guo Y. Multivariable sliding mode backstepping controller design for quadrotor UAV based on disturbance observer. Sci China Inf Sci, 2018, 61: 112207 CrossRef Google Scholar

[8] Sun J K, Yang J, Zheng W X. GPIO-Based Robust Control of Nonlinear Uncertain Systems Under Time-Varying Disturbance With Application to DC-DC Converter. IEEE Trans Circuits Syst II, 2016, 63: 1074-1078 CrossRef Google Scholar

[9] Sun J K, Yang J, Li S H. Sampled-Data-Based Event-Triggered Active Disturbance Rejection Control for Disturbed Systems in Networked Environment.. IEEE Trans Cybern, 2019, 49: 556-566 CrossRef PubMed Google Scholar

[10] Chen M, Ren B B, Wu Q X. Anti-disturbance control of hypersonic flight vehicles with input saturation using disturbance observer. Sci China Inf Sci, 2015, 58: 1-12 CrossRef Google Scholar

[11] Xu B, Shi Z, Yang C. Composite fuzzy control of a class of uncertain nonlinear systems with disturbance observer. NOnlinear Dyn, 2015, 80: 341-351 CrossRef Google Scholar

[12] Xie X H, Dai Y F, Li S Y. Fuzzy sliding mode controller for servo tracking control in precision machine tools. Control Theor Appl, 2003, 20: 913--918. Google Scholar

[13] Becerra H M, López-Nicolás G, Sagüés C. A Sliding-Mode-Control Law for Mobile Robots Based on Epipolar Visual Servoing From Three Views. IEEE Trans Robot, 2011, 27: 175-183 CrossRef Google Scholar

[14] Yi J, Cheng J, Zhao D. Design of a sliding mode controller for trajectory tracking problem of marine vessels. IET Control Theor Appl, 2007, 1: 233-237 CrossRef Google Scholar

[15] Wang T, Xie W F, Zhang Y M. Adaptive sliding mode fault tolerant control of civil aircraft with separated uncertainties. In: Proceedings of the 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, Orlando, 2010. 1--9. Google Scholar

[16] Yu J, Chen M, Jiang C S. Adaptive sliding mode control for nonlinear uncertain systems based on disturbance observer. Control Theor Appl, 2014, 31: 993--999. Google Scholar

[17] Zhang J, Jiang C S, Fang W. Variable structure near space vehicle control characteristics of large flight envelope. J Astronaut, 2009, 30: 543--549. Google Scholar

[18] Du Y L. Study of nonlinear adaptive attitude and trajectory control for near space vehicles. Dissertation for Ph.D. Degree. Nanjing: Nanjing University of Aeronautics and Astronautics, 2010. Google Scholar

[19] Chen M, Shi P, Lim C C. Adaptive Neural Fault-Tolerant Control of a 3-DOF Model Helicopter System. IEEE Trans Syst Man Cybern Syst, 2016, 46: 260-270 CrossRef Google Scholar

[20] Zhang C Y, Fang W, Jiang C S. Robust adaptive trajectory linearization control of aerospace vehicle based on T-S fuzzy system. Acta Aeronaut Astronaut Sin, 2007, 28: 1153--1161. Google Scholar

[21] Yang Y. Research on robust disturbance rejection control technology of quadrotor unmanned aircraft vehicle. Dissertation for Master Degree. Nanjing: Nanjing University of Aeronautics and Astronautics, 2017. Google Scholar

[22] Khalit H K. Nonlinear Systems. 3rd ed. New Jersey: Prentice-Hall, 2002. Google Scholar

[23] Vu L, Chatterjee D, Liberzon D. Input-to-state stability of switched systems and switching adaptive control. Automatica, 2007, 43: 639-646 CrossRef Google Scholar

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