DocumentCode
387558
Title
A fuzzy PID controller for multi-model plants
Author
Wang, Ning
Author_Institution
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
Volume
3
fYear
2002
fDate
2002
Firstpage
1401
Abstract
The fuzzy PID control method is proposed for multi-model plants in this paper. In this model-free control system, the fuzzy PID controller is designed to control a multimodel plant and the neuron is used to regulate the rule base of the fuzzy controller online. Applying the proposed method to the basis weight control of a paper machine, the simulation experiments are made. The results illustrate that the fuzzy PID controller is available to multimodel plants.
Keywords
control system synthesis; fuzzy control; intelligent control; neurocontrollers; online operation; three-term control; basis weight control; fuzzy PID controller design; model-free control system; multimodel plants; neurocontroller; neuron; online fuzzy controller; paper machine; Control systems; Cybernetics; Engines; Fuzzy control; Fuzzy systems; Neurons; PD control; Paper making machines; Process control; Three-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN
0-7803-7508-4
Type
conf
DOI
10.1109/ICMLC.2002.1167436
Filename
1167436
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