Multi-Vessel Flow System Identification Based on PID Neural Network

Author

Shu, Hua ; Shu, Huailin

Author_Institution

Inst. of Inf. & Control Technol., Guangzhou Univ., Guangzhou

Volume

3

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

556

Lastpage

559

Abstract

The multi-vessel flow system is a non-linear coupling system with time-delay. It is one kind of typical controlled multivariable object that has extensive application in the actual production in process control. In this paper, the structure and algorithm of PID neural network are introduced and the properties and characteristics are analyzed. The identification of three-holding water tank control system is completed and the result is perfect.

Keywords

delay systems; flow control; multivariable control systems; neurocontrollers; nonlinear control systems; tanks (containers); three-term control; water storage; PID neural network; multivessel flow system identification; nonlinear coupling system; process control; three-holding water tank control system; time delay; typical controlled multivariable object; Control systems; Information technology; Intelligent networks; Multi-layer neural network; Neural networks; Neurons; Sampling methods; Signal processing; System identification; Three-term control; Identification; Neural Network; PID; multivariable object;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3497-8

Type

conf

DOI

10.1109/IITA.2008.105

Filename

4740059