Title :
Neuron controller with self-tuning gain for pH processes
Author :
Wang, Ning ; Yang, Guang
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
The neuron control method with self-tuning gain is proposed for a pH neutralization process in this paper. In this control system, the fuzzy T-S model is used to predict the control signal. The neuron controller gain is calculated and tuned according to the parameter estimation and experience formulas. The simulation results show that the proposed control method can control the pH process with grave nonlinearity.
Keywords :
fuzzy control; neurocontrollers; pH; pH control; parameter estimation; self-adjusting systems; fuzzy T-S model; neuron controller; pH neutralization process; parameter estimation; self-tuning gain; Control system synthesis; Fuzzy control; Fuzzy systems; Industrial control; Laboratories; Neurons; Parameter estimation; Predictive models; Process control;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343167
