DocumentCode
2846840
Title
The method of neural network PID control with prediction control
Author
Sun, Shengqi ; Li, Xuebin ; Dong, Liang ; Gu, Shusheng
Author_Institution
Key Lab. of Manuf. Ind. Integrated Autom., Shenyang Univ., Shenyang, China
fYear
2010
fDate
26-28 May 2010
Firstpage
2515
Lastpage
2518
Abstract
This paper presents two improved training method for designing the weights of neural network PID controller, which use Clarke index function and multi-step quadratic index function to train the weights of the neural network PID controller. Therefore it makes the character of the control system better. The simulation results demonstrate the effectiveness of this method.
Keywords
neurocontrollers; predictive control; three-term control; Clarke index function; improved training method; multistep quadratic index function; neural network PID controller; prediction control; Automatic control; Control systems; Industrial training; Laboratories; Manufacturing automation; Manufacturing industries; Neural networks; Neurons; Performance analysis; Three-term control; Clarke´s index function; Multi-step quadratic index function; Neural network PID control; Train;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498765
Filename
5498765
Link To Document