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
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;
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
DOI :
10.1109/CCDC.2010.5498686
