Title :
Robust adaptive fuzzy disturbance accommodation control for a class of uncertain nonlinear system
Author_Institution :
Hyundai Motor Co., Hwaseong, South Korea
Abstract :
The fuzzy logic system (FLS)-based disturbance accommodation and fuzzy sliding mode control (FSMC) present a new and feasible design algorithm for disturbance accommodation control (DAC) of unknown multi-input-multi-output (MIMO) nonlinear systems in the presence of unmodeled uncertainties, parametric uncertainties, and external disturbances. The disturbance mismatch and the fuzzy approximation error are compensated by FSMC in a sense that the error state trajectory asymptotically converges to zero. The triple fuzzy scheme that unifies the FLS disturbance estimation, the FSMC, and the adaptive fuzzy parameter update laws is proven by Lyapunov-based stability analysis.
Keywords :
Lyapunov methods; MIMO systems; adaptive control; control system synthesis; fuzzy control; nonlinear control systems; robust control; uncertain systems; variable structure systems; DAC; FLS disturbance estimation; FSMC; Lyapunov-based stability analysis; MIMO nonlinear systems; adaptive fuzzy parameter update laws; disturbance mismatch; error state trajectory; external disturbances; feasible design algorithm; fuzzy approximation error; fuzzy logic system; fuzzy sliding mode control; multiinput-multioutput nonlinear systems; parametric uncertainties; robust adaptive fuzzy disturbance accommodation control; triple fuzzy scheme; uncertain nonlinear system; unmodeled uncertainties; Approximation error; Fuzzy logic; Nonlinear systems; Robustness; Sliding mode control; Stability analysis; Uncertainty;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6761083
