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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863061
