Title :
Application of pH control based on adaptive PID in acid-alkali neutralization reaction
Author :
Youlin, Yang ; Qinghui, Wu ; Shuo, Ding
Author_Institution :
Coll. of Eng., Bohai Univ., Jinzhou, China
Abstract :
An adaptive PID controller based on artificial neuron is designed to improve the interference immunity of pH system in acid-alkali reaction. By using the learning algorithm of artificial neuron, parameter self-tuning and adaptability are realized in the control, which solves the problems of long adjustment time, large overshoot and poor anti-interference of PID control in acid-alkali reaction. Simulation results show that the adaptive PID controller has shorter repose time and stronger robustness compared with conventional PID controller.
Keywords :
adaptive control; chemical engineering; control system synthesis; learning (artificial intelligence); neurocontrollers; pH control; process control; robust control; self-adjusting systems; three-term control; acid-alkali neutralization reaction; adaptability; adaptive PID controller; adjustment time; artificial neuron; interference immunity; learning algorithm; pH control; pH system; parameter self-tuning; repose time; robustness; Adaptation models; Adaptive systems; Algorithm design and analysis; Interference; Neurons; PD control; Process control; Adaptive PID; artificial neuron; neutralization reaction; pH control;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
