Title :
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
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;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.105
