Title :
Adaptive Sliding Mode-Like Fuzzy Logic Control for Nonlinear Systems
Author :
Zhang, Xiaoyu ; Zhang, Quanzhu ; Xiao, Lingfei ; Su, Hongye
Author_Institution :
Lab. of Inf. & Control Technol., North China Inst. of Sci. & Technol., Beijing
Abstract :
Sliding mode-like fuzzy logic control (SMFC) algorithm for nonlinear systems is presented in this paper. Firstly dead zone parameters of sliding mode control (SMC) are self-tuned by proper adaptive laws and then combined into fuzzy logic system (FLS) to compose the opportune fuzzy logic control (FLC), which is equivalent to the pre-designed SMC controller with self-tuning parameters. Robustness and invariance to the uncertainties of the closed-loop systems are improved and chattering of the SMC is eliminated. Finally simulation results of numerical examples show that the proposed control algorithm is efficient and feasible.
Keywords :
adaptive control; closed loop systems; control system synthesis; fuzzy control; nonlinear control systems; robust control; self-adjusting systems; uncertain systems; variable structure systems; adaptive control; closed-loop system; fuzzy logic control; nonlinear system; robust control; self-tuning dead zone parameter; sliding mode control design; uncertain system; Adaptive control; Control systems; Fuzzy logic; Nonlinear control systems; Nonlinear systems; Numerical simulation; Programmable control; Robustness; Sliding mode control; Uncertainty;
Conference_Titel :
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location :
Dalian, Liaoning
Print_ISBN :
978-0-7695-3161-8
Electronic_ISBN :
978-0-7695-3161-8
DOI :
10.1109/ICICIC.2008.119
