Title :
Study of Intelligent Control System to Handle the Cr-Containing Effluent in Basic Condition
Author :
Luo, Yi ; Zhou, Xiaoli ; Zhang, Guoliang
Author_Institution :
Sch. of Control Sci. & Eng., North China Electr. Power Univ., Beijing
Abstract :
According to titration experimentation, this paper analyzed the characteristics of pH and ORP in the basic condition, and designed an intelligent control system, which combined the demerits of PID control with self-learning neural network control, to treat the Cr-containing effluent, and put forth a kind of leading control method on the basis of energy in system to solve big lag and a kind of simple and effective decoupling control method in concern of the principle in the chemical reaction for the sake of the coupling between the pH and ORP, and actualized the linearization of the process. Operation analysis of system states that it is effective
Keywords :
chromium; effluents; intelligent control; neurocontrollers; oxidation; pH control; reduction (chemical); three-term control; unsupervised learning; water pollution control; Cr-containing effluent; PID control; decoupling control; intelligent control system; oxidation reduction potential; pH; self-learning neural network control; titration experimentation; Chemical analysis; Chemical processes; Control systems; Design engineering; Effluents; Electronic mail; Intelligent control; Neural networks; Power engineering and energy; Three-term control; basic condition; cr-containing effluent; decoupling control; leading adjustment; neural network;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712901
