DocumentCode
2338760
Title
Neuron controller with adaptive regulated gain for paper machine
Author
Zhang, Jianming ; Wang, Shuqing ; Wang, Ning
Author_Institution
Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Volume
5
fYear
2000
fDate
2000
Firstpage
3132
Abstract
The paper-making process is very complex, there exists long delay time, grievous nonlinearities and time-varying parameters. The paper presents a neuron model-free control method in which the neuron gain is regulated adaptively for the paper-making process. This procedure can control the process with long delay time and great range of open-loop gain variation efficiently. The simulation results for a complex paper machine is satisfying, good performances in robustness and adaptability are obtained
Keywords
adaptive control; neurocontrollers; paper industry; process control; robust control; time-varying systems; adaptability; adaptive regulated gain; delay time; neuron model-free control method; nonlinearities; open-loop gain variation; paper machine; paper-making process; robustness; time-varying parameters; Adaptive control; Control nonlinearities; Delay effects; Industrial control; Laboratories; Neurons; Open loop systems; Paper making machines; Process control; Programmable control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863061
Filename
863061
Link To Document