Intelligent control of mechatronic systems

Author

Lee, T.H. ; Ge, S.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore

fYear

2003

fDate

8-8 Oct. 2003

Firstpage

646

Lastpage

660

Abstract

This talk is dedicated to intelligent control of mechatronic systems. After a brief review of fuzzy logic and neural network systems, two main tools used for intelligent control, and some basic control concepts and methodologies, intelligent control is presented for two typical mechatronic systems, servo mechanisms and robotic systems by fully exploiting the physical properties of the systems. For servo mechanisms, both adaptive friction compensation and adaptive neural network (NN) control are investigated under various conditions. For robotic systems, intelligent control is discussed for rigid robots, flexible joint robots, flexible link robots, and smart materials flexible robots.

Keywords

adaptive control; compensation; fuzzy control; fuzzy logic; intelligent control; mechatronics; neurocontrollers; robots; servomechanisms; adaptive friction compensation; adaptive neural network control; flexible joint robots; flexible link robots; fuzzy logic; intelligent control; mechatronic systems; neural network systems; rigid robots; robotic systems; servo mechanisms; smart materials flexible robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control. 2003 IEEE International Symposium on

Conference_Location

Houston, TX, USA

ISSN

2158-9860

Print_ISBN

0-7803-7891-1

Type

conf

DOI

10.1109/ISIC.2003.1254713

Filename

1254713