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

fYear

2008

fDate

18-20 June 2008

Firstpage

351

Lastpage

351

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICIC.2008.119

Filename

4603540