DocumentCode
2425888
Title
Application of Artificial Intelligence Technology in Asphalt Concrete Mixer Control System
Author
Liu, Ming-Shan ; Zhou, Yuan
Author_Institution
Jilin Univ., Jilin
Volume
4
fYear
2007
fDate
24-27 Aug. 2007
Firstpage
159
Lastpage
163
Abstract
Analysis the working process of the asphalt concrete mixer control system, this article introduces a new type of intelligent control system based on the fuzzy expert control technology. To minimize the control error caused by nonlinearity and long time delay in the working process, the advance technology of fuzzy control, expert system and digital signal processing are adopted in the control system. A linear filter required by the prediction was designed to perform the prediction of the temperature change history in the working process of the mixer. Based on it, the working process of asphalt concrete mixer could be controlled automatically and intelligently in real time. Test results showed that the accuracy of the control system has been improved greatly, and the asphalt concrete mixer works stably and reliability. Combining with the traditional control method, the centralized and intelligent control system is more effectively.
Keywords
asphalt; cement industry; concrete; control nonlinearities; delay systems; filtering theory; fuzzy control; intelligent control; machinery; mixing; reliability; stability; artificial intelligence; asphalt concrete mixer control system; digital signal processing; error control; fuzzy expert control; intelligent control system; linear filter; long time delay; nonlinearity; reliability; stability; temperature change; Artificial intelligence; Asphalt; Automatic control; Concrete; Control systems; Error correction; Fuzzy control; Fuzzy systems; Intelligent control; Nonlinear control systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-2874-8
Type
conf
DOI
10.1109/FSKD.2007.176
Filename
4406372
Link To Document