Title :
Research and Implementation Based on Velocity Identification Technology
Author :
Bing, Han ; Ying-lan, Fang ; Ye-bai, Li
Author_Institution :
Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
In this paper it has deeply analyzed and researched to related flow control technology in the traditional industry production process and proposed adaptive fuzzy patent technology based on velocity identification, which effectively overcome the impact in the traditional system nonlinear, strong interference, human error and other factors. It has greatly improved the measurement accuracy. By a long-term production and application of related industries it shows that the method used in this paper is feasible, safe and effective. So it can achieve measurement intelligent and production automation.
Keywords :
adaptive control; flow control; fuzzy control; identification; process control; adaptive fuzzy patent technology; flow control technology; industry production process; intelligent automation; production automation; velocity identification technology; Adaptive control; Control systems; Electrical equipment industry; Flow production systems; Fuzzy control; Fuzzy systems; Industrial control; Nonlinear control systems; Programmable control; Velocity control; Fuzzy adaptive; Recognition technology; Velocity;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.206