DocumentCode
2845490
Title
Double neuron model-free control for pH processes
Author
Zhang, Li ; Wang, Ning
Author_Institution
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
fYear
2010
fDate
26-28 May 2010
Firstpage
2867
Lastpage
2871
Abstract
A double neuron model-free control method for pH processes is presented. In this control system, the principal neuron controller is designed to control pH processes, and the subordinate neuron controller is used to compensate for the nonlinear characteristic. The purpose of improving response speed and reducing errors is reached. Simulation results show the efficiency, good disturbance resistibility and very strong robustness of the proposed method.
Keywords
chemical industry; control system synthesis; neurocontrollers; pH control; robust control; control system; disturbance resistibility; double neuron model-free control; pH processes; principal neuron controller; response speed; robustness; subordinate neuron controller; Adaptive control; Artificial neural networks; Automatic control; Control nonlinearities; Control systems; Fuzzy control; Neurons; Nonlinear control systems; Process control; Programmable control; Double neuron control; Model-free control; Nonlinear plants; pH process;
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.2010.5498686
Filename
5498686
Link To Document