Title :
The intelligent control for dust trap system of a boiler
Author :
Haichao, Ran ; Lihua, Sun ; Guo Yingjun
Author_Institution :
Hebei Univ. of Sci. & Technol., China
Abstract :
A kind of intelligent control with reduced energy is presented for a dust trap system of a boiler. A basic output value is given via a basic controller, and the value of smoke quantities produced in different steps can be predicted by a BP network, then the work points of the system can be changed easily and the regulation of the rotational speed of the dust trap fans and dreggy pumps as well as the required water quantity of the dust trap system can be adjusted. The impact of the dust trap system in different steps can be compensated via a fuzzy controller. The practical application shows the method is a good way to reduce the energy cost of the dust trap system
Keywords :
backpropagation; boilers; fuzzy control; intelligent control; neural nets; pumps; velocity control; BP network; dreggy pumps; dust trap system; energy cost; rotational speed; smoke quantities; Boilers; Control systems; Costs; Fans; Fuzzy control; Fuzzy neural networks; Intelligent control; Intelligent networks; Intelligent systems; Neural networks;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.859998
