Title :
A fuzzy PID controller for multi-model plants
Author_Institution :
Res. Inst. of Adv. Process Control, Zhejiang Univ., Hangzhou, China
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;
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
DOI :
10.1109/ICMLC.2002.1167436
