Fuzzy Robust Constrained Control for Nonlinear Systems With Input Saturation and External Disturbances
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Article number | 8896053 |
Pages (from-to) | 345-356 |
Journal / Publication | IEEE Transactions on Fuzzy Systems |
Volume | 29 |
Issue number | 2 |
Online published | 11 Nov 2019 |
Publication status | Published - Feb 2021 |
Link(s)
Abstract
This article proposes a high-order disturbance observer (HODO) and dynamic surface control (DSC) technique-based adaptive fuzzy control scheme for nonlinear systems subjected to input saturation and external time-varying disturbances. First, based on a Sigmoid function, the saturation input is tackled by utilizing a well-defined nonlinear smooth function. Furthermore, HODO and fuzzy logic systems are used to estimate the external disturbances and to handle the lumped unknown functions, respectively. Then, by using the backstepping method and DSC technique, a HODO-based adaptive fuzzy tracking control scheme is proposed for nonlinear systems with saturation nonlinearity, uncertainties, and external disturbances. The Lyapunov analysis method is used to prove that all signals in the entire system are semiglobally uniformly ultimately bounded (SGUUB). In addition, the tracking error converges to a compact set with a tunable error bound determined by some design parameters. Finally, a numerical simulation of two-stage chemical reactor shows the effectiveness of the developed tracking control strategy.
Research Area(s)
- Adaptive tracking control, backstepping control, fuzzy logic systems (FLSs), high-order disturbance observer (HODO), input saturation
Citation Format(s)
Fuzzy Robust Constrained Control for Nonlinear Systems With Input Saturation and External Disturbances. / Yan, Xiaohui; Chen, Mou; Feng, Gang et al.
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 2, 8896053, 02.2021, p. 345-356.
In: IEEE Transactions on Fuzzy Systems, Vol. 29, No. 2, 8896053, 02.2021, p. 345-356.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review