A Fuzzy Neural Network Control System Based on Embedded System

Author

Xiaoying Meng ; Yuening Tang ; Jia He

Author_Institution

Harbin Univ. of Sci. & Technol., Harbin

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

2394

Lastpage

2398

Abstract

This paper present a fuzzy neural network control system based on embedded system, which is at the base of research on the fuzzy neural network and the embedded technology. The fuzzy neural network is an adaptive neural network whose parameters can be corrected by learning algorithms automatically. The embedded system consists of s3c44box with ARM core and a real time operating system. The fuzzy neural network control system runs on the platform of the embedded system. Finally, a real control experiment on the system is introduced. The simulation result indicates the system is stable and efficient, and obtained the results as expected.

Keywords

adaptive control; control engineering computing; embedded systems; fuzzy control; neurocontrollers; ARM core; adaptive neural network; embedded system; fuzzy neural network control; learning algorithms; real time operating system; s3c44box; Adaptive systems; Automatic control; Automatic generation control; Control systems; Embedded system; Fuzzy control; Fuzzy neural networks; Nonlinear control systems; Operating systems; Real time systems; ARM core; embedded system; fuzzy neural network; real time operating system;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0828-3

Electronic_ISBN

978-1-4244-0828-3

Type

conf

DOI

10.1109/ICMA.2007.4303929

Filename

4303929