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Fuzzy Fixed-Time Fault-Tolerant Control of Uncertain Nonlinear Systems with Non-affine Faults and Its Application in Manipulator Systems

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Abstract

This paper aims to solve two challenging problems in fuzzy control: the complexity explosion caused by iterative derivation of the virtual control laws in design process and the fuzzy adaptive feedback stability for a class of uncertain nonlinear systems. Firstly, the difficulty in backstepping control design for high-order nonlinear systems is solved by combining adding a power integrator method with the dynamic surface control technique and using the fuzzy logic system to approximate unknown nonlinear functions. Then, the non-affine fault of system states and control output can be transformed into a nonlinear one with unknown parameters. The proposed control strategy not only drives the tracking error to converge to an adjustable region of the origin within a fixed time, but also maintains the stability of the closed-loop systems. An advantage is that the convergence time does not depend on the initial state. Finally, the stabilization of a manipulator system is investigated to demonstrate the effectiveness of the control scheme.

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References

  1. Krstić, M., Kanellakopoulos, I., Kokotovic, P.: Nonlinear and Adaptive Control Design. Wiley, New York (1995)

    Google Scholar 

  2. Liang, Y.J., Li, Y.X., Che, W.W.: Adaptive fuzzy asymptotic tracking for nonlinear systems with nonstrict-feedback structure. IEEE Trans. Cybern. 51(2), 853–861 (2021)

    Article  PubMed  Google Scholar 

  3. Yu, L.Y., Sun, Z.Y., Meng, Q.H., Chen, C.C., Li, J.J.: Fixed-time fuzzy adaptive tracking control for high-order systems with unknown nonlinearities and control directions. Int. J. Fuzzy Syst. (2023). https://doi.org/10.1007/s40815-022-01456-z

    Article  Google Scholar 

  4. Edalati, L., Sedigh, A.K., Shooredeli, M.A., Moarefianpour, A.: Adaptive fuzzy dynamic surface control of nonlinear systems with input saturation and time-varying output constraints. Mech. Syst. Signal Process. 100, 311–329 (2018)

    Article  ADS  Google Scholar 

  5. Wang, N., Fu, Z.M., Tao, F.Z., Song, S.Z., Wang, T.: A simplified adaptive tracking control for nonlinear pure-feedback systems with input delay and full-state constraints. Int. J. Adapt. Control Signal Process. 35(12), 2521–2536 (2021)

    Article  MathSciNet  CAS  Google Scholar 

  6. Lv, Z.X., Ma, Y.M., Liu, J.P., Yu, J.P.: Full-State constrained adaptive fuzzy finite-time dynamic surface control for PMSM drive systems. Int. J. Fuzzy Syst. 23(3), 804–815 (2021)

    Article  Google Scholar 

  7. Feng, S.S., Sun, Z.Y., Zhou, C.Q., Chen, C.C., Meng, Q.H.: Output tracking control via neural networks for high-order stochastic nonlinear systems with dynamic uncertainties. Int. J. Fuzzy Syst. 23(3), 716–726 (2021)

    Article  Google Scholar 

  8. Zuo, Z.Y.: Non-singular fixed-time terminal sliding mode control of nonlinear systems. IET Control Theor. Appl. 9(4), 545–552 (2014)

    Article  Google Scholar 

  9. Polyakov, A., Efimov, D., Perruquetti, W.: Finite-time and fixed-time stabilization: implicit Lyapunov function approach. Automatica 51, 332–340 (2015)

    Article  MathSciNet  Google Scholar 

  10. Ren, P.X., Wang, F., Zhu, R.Z.: Adaptive fixed-time fuzzy control of uncertain nonlinear quantized systems. Int. J. Fuzzy Syst. 23(3), 794–803 (2021)

    Article  Google Scholar 

  11. Chen, C.C., Sun, Z.Y.: Fixed-time stabilisation for a class of high-order non-linear systems. IET Control Theor. Appl. 12(18), 2578–2587 (2018)

    Article  MathSciNet  Google Scholar 

  12. Li, L.L., Luo, H., Ding, S.X., Yang, Y., Peng, K.X.: Performance-based fault detection and fault-tolerant control for automatic control systems. Automatica 99, 308–316 (2019)

    Article  MathSciNet  Google Scholar 

  13. Sha, Y.Z., Hu, J., Yao, J.Y.: Active fault-tolerant control strategy for electromechanical servo system based on dual fuzzy RBF neural networks and velocity reconstruction. Int. J. Fuzzy Syst. 25(2), 715–730 (2023)

    Article  Google Scholar 

  14. Wang, N., Fu, Z.M., Tao, F.Z., Song, S.Z., Wang, T.: Observer-based adaptive fuzzy finite-time fault-tolerant control for stochastic nonlinear systems with state constraint. Int. J. Fuzzy Syst. 24(7), 3265–3276 (2022)

    Article  Google Scholar 

  15. Zhang, G.W., Qiu, S., Wang, F.: Adaptive fuzzy fault-tolerant control of flexible spacecraft with rotating appendages. Int. J. Fuzzy Syst. 25(1), 326–337 (2023)

    Article  Google Scholar 

  16. Yang, B., Lin, W.: Homogeneous observers, iterative design, and global stabilization of high-order nonlinear systems by smooth output feedback. IEEE Trans. Autom. Control 49(7), 1069–1080 (2004)

    Article  MathSciNet  Google Scholar 

  17. Qian, C.J., Lin, W.: Non-Lipschitz continuous stabilizers for nonlinear systems with uncontrollable linearization. Syst. Control Lett. 42(3), 185–200 (2001)

    Article  MathSciNet  Google Scholar 

  18. He, C., Wu, J., Dai, J.Y., Zhang, Z.: Fixed-time adaptive neural tracking control for a class of uncertain multi-input and multi-output nonlinear pure-feedback systems. Int. J. Adapt. Control Signal Process. 35(2), 262–284 (2020)

    Article  MathSciNet  Google Scholar 

  19. Jin, X.: Adaptive fixed-time control for MIMO nonlinear systems with asymmetric output constraints using universal barrier functions. IEEE Trans. Autom. Control 64(7), 3046–3053 (2019)

    Article  MathSciNet  Google Scholar 

  20. Yao, Y.G., Tan, J.Q., Wu, J., Zhang, X.: A unified fuzzy control approach for stochastic high-order nonlinear systems with or without state constraints. IEEE Trans. Fuzzy Syst. 30(10), 4530–4540 (2022)

    Article  Google Scholar 

  21. Liu, X.P., Wang, H.Q., Gao, C., Chen, M.: Adaptive fuzzy funnel control for a class of strict feedback nonlinear systems. Neurocomputing 241(7), 71–80 (2017)

    Article  Google Scholar 

  22. Boukattaya, M., Mezghani, N., Damak, T.: Adaptive nonsingular fast terminal sliding-mode control for the tracking problem of uncertain dynamical systems. ISA Trans. 77, 1–19 (2018)

    Article  PubMed  Google Scholar 

  23. Sun, K.K., Liu, L., Qiu, J.B., Feng, G.: Fuzzy adaptive finite-time fault-tolerant control for strict-feedback nonlinear systems. IEEE Trans. Fuzzy Syst. 29(4), 786–796 (2021)

    Article  ADS  Google Scholar 

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Correspondence to Zong-Yao Sun.

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Bai, Y., Sun, ZY., Chen, CC. et al. Fuzzy Fixed-Time Fault-Tolerant Control of Uncertain Nonlinear Systems with Non-affine Faults and Its Application in Manipulator Systems. Int. J. Fuzzy Syst. 26, 540–552 (2024). https://doi.org/10.1007/s40815-023-01614-x

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  • DOI: https://doi.org/10.1007/s40815-023-01614-x

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