Adaptive Fuzzy Sliding-Mode Control for Linear Piezoelectric Ceramic Motor

Author

Hsu, Chun-fei ; Lin, Chih-Min ; Lee, Tsu-Tian

Author_Institution

Dept. of Electr. & Control Eng., Nat. Chiao-Tung Univ., Hsinchu

fYear

2005

fDate

25-25 May 2005

Firstpage

507

Lastpage

512

Abstract

This paper proposes an adaptive fuzzy sliding-mode controller with proportional-integral learning algorithm (PI-AFSMC) for the unknown nonlinear systems. All the controller parameters are on-line tuned by the derived learning algorithms in the Lyapunov stability theorem, thus the stability of the system can be guaranteed. Finally, the proposed PI-AFSMC is applied to control a linear piezoelectric ceramic motor. Experimental results demonstrate the effectiveness of the proposed PI-AFSMC can achieve favorable tracking performances with unknown the controlled system dynamics

Keywords

Lyapunov methods; PI control; adaptive control; control system synthesis; fuzzy control; fuzzy set theory; learning (artificial intelligence); linear motors; machine control; nonlinear control systems; piezoceramics; piezoelectric motors; variable structure systems; Lyapunov stability theorem; PI-AFSMC; adaptive fuzzy sliding-mode control; controller parameters; learning algorithms; linear piezoelectric ceramic motor; nonlinear systems; online tuning; proportional-integral learning algorithm; system dynamics; system stability; Adaptive control; Ceramics; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Pi control; Programmable control; Proportional control; Sliding mode control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2005. FUZZ '05. The 14th IEEE International Conference on

Conference_Location

Reno, NV

Print_ISBN

0-7803-9159-4

Type

conf

DOI

10.1109/FUZZY.2005.1452445

Filename

1452445