A fuzzy neural network controller in the electrohydraulic position control system

Author

Jianchen, Gao ; Pingdong, Wu

Author_Institution

Mechatronics Center, Beijing Inst. of Technol., China

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

58

Abstract

A fuzzy neural network controller combines both the advantages of neural networks and fuzzy control. It is an excellent control strategy for hydraulic position control systems. In this paper, a type of fuzzy neural network structure is proposed. By means of DSP, an efficient way for implementing the fuzzy neural network real-time control is obtained. This fuzzy neural network controller adjusts the parameters of membership functions online in order to acquire the required control performance. The experiments on the electrohydraulic position control system prove the practicability of this fuzzy neural network controller

Keywords

electrohydraulic control equipment; fuzzy control; fuzzy neural nets; neurocontrollers; position control; real-time systems; DSP; electrohydraulic position control system; experiments; fuzzy control; fuzzy neural network controller; membership functions; online parameter adjustment; real-time control; Control systems; Digital signal processing; Electrohydraulics; Error correction; Fuzzy control; Fuzzy neural networks; Intelligent networks; Neural networks; Position control; Signal processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672739

Filename

672739