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
Krstić, M., Kanellakopoulos, I., Kokotovic, P.: Nonlinear and Adaptive Control Design. Wiley, New York (1995)
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)
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
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)
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)
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)
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)
Zuo, Z.Y.: Non-singular fixed-time terminal sliding mode control of nonlinear systems. IET Control Theor. Appl. 9(4), 545–552 (2014)
Polyakov, A., Efimov, D., Perruquetti, W.: Finite-time and fixed-time stabilization: implicit Lyapunov function approach. Automatica 51, 332–340 (2015)
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)
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)
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)
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)
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)
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)
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)
Qian, C.J., Lin, W.: Non-Lipschitz continuous stabilizers for nonlinear systems with uncontrollable linearization. Syst. Control Lett. 42(3), 185–200 (2001)
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)
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)
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)
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)
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)
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)
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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