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Command filtered dual backstepping variable structure robust switching control of uncertain nonlinear system

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Abstract

This paper presents the design and stability analysis of a dual backstepping variable structure robust controller based on command filter for a class of nonlinear system with bounded uncertain structure. First, a normal backstepping recursive design procedure is divided into two distinguished sub-backstepping recursive sequences according to different control objectives or tasks. Then, a set of the switching logic is introduced from the variable structure switching scheme to connect different sub-backstepping controllers. The switching logic function divides the whole process into saturation switching phase and linear transient phase. Meanwhile, command filters are employed to suppress the redouble explosion of the derivation terms from sequences. This mechanism is proposed to make up the shortcoming of chatting in variable structure switching and give more flexibility in designing feedback control law to protect the beneficial nonlinear characteristics. Furthermore, compared with the existing traditional single backstepping method, the developed method not only guarantees the uniform ultimately bounded of all the closed-loop system with uncertainty, but also improves the tracking performance. The steady output tracking error can be made arbitrarily small by choosing control parameters appropriately. Finally, the effectiveness and advantages of this mechanism are illustrated by a practical example.

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All data included in this study are available upon request by contact with the corresponding author.

References

  1. Sankaranarayanan, F.K.S., Melkote, H.: Adaptive variable structure control of a class of nonlinear systems with nonvanishing perturbations via backstepping. Am. Control Conf. IEEE 6(1), 4491–4495 (1999)

    Google Scholar 

  2. Zhaong, Q.C., Jiguo, D., Beibei, R.: Uncertainty and disturbance estimator-based backstepping control for nonlinear systems with mismatched uncertainties and disturbances. J. Dyn. Syst. Meas. Contr. 140(12), 1–11 (2018)

    Google Scholar 

  3. Southward, S.C.: Modelling and Control of Mechanical Systems with Stick-slip Friction, Michigan State University, East Lansing, pp 1–200 (1990)

  4. Utkin, V., Guldner, J., Shi, J.: Sliding mode control in electromechanical systems. Control Eng. Practice 8(12), 1417–1418 (2000)

    Article  Google Scholar 

  5. D, B., Madani, T.: Adaptive variable structure controller of redundant robots with mobile/fixed obstacles avoidance. Robot. Auton. Syst. 6(61), 555–564 (2013)

    Google Scholar 

  6. Mayne, D.: Nonlinear and adaptive control design. IEEE Trans. Autom. Control 41(12), 1849–1858 (2002)

    Article  Google Scholar 

  7. Kanellakopoulos, I., Kokotovic, P.V., Morse, A.S.: Systematic design of adaptive controllers for feedback linearizable systems. Am. Control Conf. 36(11), 1241–1253 (2002)

    MATH  Google Scholar 

  8. Kanellakopoulos, I.P., Kokotovic, P.V., Morse, A.S.: Adaptive output-feedback control of system with output nonlinearities. IEEE Trans. Autom. Control 37(11), 1666–1682 (1992)

    Article  MATH  Google Scholar 

  9. Chiang, M.L., Fu, L.C.: Adaptive stabilization of a class of uncertain switched nonlinear systems with backstepping control. Automatica 50(8), 2128–2135 (2014)

    Article  MATH  Google Scholar 

  10. Lin, W., Qian, C.: Adaptive control of nonlinearly parameterized systems: the smooth feedback case. IEEE Trans. Autom. Control 47(8), 1249–1266 (2002)

    Article  MATH  Google Scholar 

  11. Queiroz, S., Dias, K., Araujo, A.: Modular variable structure adaptive backstepping controller: design and stability analysis. J. Frankl. Inst. 351(4), 2089–2106 (2014)

    Article  MATH  Google Scholar 

  12. Liu, G., et al.: Adaptive backstepping-based tracking control of a class of uncertain switched nonlinear systems. Automatica 91(1), 301–310 (2018)

    MATH  Google Scholar 

  13. Ma, R., Zhao, J.: Backstepping design for global stabilization of switched nonlinear systems in lower triangular form under arbitrary switchings. Automatica 46(11), 1819–1823 (2010)

  14. Mou, C., ShuzhiSam, G.: Robust adaptive neural network control for a class of uncertain mimo nonlinear systems with input nonlinearities. IEEE Trans. Neural Netw. 21(5), 796 (2010)

    Article  Google Scholar 

  15. Yao, Z., Jiao, J., Ma, D.: Extended-state-observer-based output feedback nonlinear robust control of hydraulic systems with backstepping. IEEE Trans. Industr. Electron. 61(11), 6285–6293 (2014)

    Article  Google Scholar 

  16. Queiroz, K., Araujo, A.: Variable structure adaptive backstepping control. Int. Workshop Variable Struct. Syst. 3(74), 112–117 (2008)

    Google Scholar 

  17. Kurios, A.: Queiroz, design and stability analysis of a variable structure adaptive backstepping controller. Asian J. Control 14(3), 641–651 (2012)

    Article  MATH  Google Scholar 

  18. C, C.L., Peng, C.C., Hsue, W.J.: Variable structure based robust backstepping controller design for nonlinear systems. Nonlinear Dyn. 63(12), 253–262 (2010)

    MATH  Google Scholar 

  19. Yu, J., Chen, B., Yu, H., Lin, C., Zhao, L.: Neural networks-based command filtering control of nonlinear systems with uncertain disturbance. Inf. Sci. 426(1), 50–60 (2018)

    Article  MATH  Google Scholar 

  20. Niu, B., Liu, Y., Zong, G., Han, Z., Fu, J.: Command filter-based adaptive neural tracking controller design for uncertain switched nonlinear output-constrained systems. IEEE Trans. Cybern. 47(10), 3160–3171 (2017)

    Article  Google Scholar 

  21. Wang, H., Liu, P.X., Li, S., Wang, D.: Adaptive neural output-feedback control for a class of nonlower triangular nonlinear systems with unmodeled dynamics. IEEE Trans. Neural Netw. Learn. Syst. 29(8), 3658–3668 (2017)

    Google Scholar 

  22. Khalil, H.K.: Nonlinear Systems, Electronics Industry, pp. 551–603 (2007)

  23. Ye, X.: Global adaptive control of nonlinearly parametrized systems. IEEE Trans. Autom. Control 48(1), 169–173 (2003)

    Article  MATH  Google Scholar 

  24. Farrell, J.A., Polycarpou, M.M.: Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches, Inc, Wiley, pp. 84–95 (2006)

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Acknowledgements

The author is very grateful to the Associate Editor and the reviewers for their valuable comments. This work was supported by the Doctoral Scientific Research Foundation of Harbin Normal University [Grant Number XKB202208; XKB201801]. This work was partially supported by the Natural Science Foundation of Heilongjiang Province, China [Grant Number LH2021F037].

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Correspondence to Quanqi Mu.

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Yin, Q., Mu, Q., Bian, Y. et al. Command filtered dual backstepping variable structure robust switching control of uncertain nonlinear system. Nonlinear Dyn 111, 3953–3967 (2023). https://doi.org/10.1007/s11071-022-08055-5

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