Strip Thickness Control of Cold Rolling Mill with Roll Eccentricity Compensation by Using Fuzzy Neural Network
نویسندگان
چکیده
منابع مشابه
Predicting Strip Tearing in Cold Rolling Tandem Mill using Neural Network
Strip tearing during cold rolling process has always been considered among the main concerns for steel companies, while several works have been done so far regarding the examination of this issue. In this paper, experimental data from cold rolling tandem mill is used for detecting strip tearing. Sensors are placed across the cold rolling tandem mill, to collect information on parameters (such a...
متن کاملpredicting strip tearing in cold rolling tandem mill using neural network
strip tearing during cold rolling process has always been considered among the main concerns for steel companies. several works have been done so far regarding the examination of the issue. in this paper, experimental data from cold rolling tandem mill is used for detecting strip tearing. sensors are placed across the cold rolling tandem mill. they receive information on parameters (such as ang...
متن کاملModeling of thin strip profile during cold rolling on roll crossing and shifting mill
Strip profile control in cold rolling of thin strip is a difficult and challenge problem found in industry. Currently using the novel type of strip rolling mill, such as the work roll crossing and shifting is the one of the main methods to control the strip profile quality in cold rolling. In this paper, 3-D finite element simulation models of the thin strip profile in cold rolling for the work...
متن کاملNeural Network Control with Fuzzy Logic Compensation
This paper presents a new AI based control strategy. A dynamic neural network is used to identify the plant on-line. The control signal is then calculated iteratively according to the responses of a reference model and the identified neural model of the process. A fuzzy logic block with four very simple rules is added to the loop to improve the overall loop properties. This synergetic AI contro...
متن کاملA dynamically generated fuzzy neural network and its application to torsional vibration control of tandem cold rolling mill spindles
Based on the model of Higgins and Goodman, we describe a dynamically generated fuzzy neural network (DGFNN) approach to control, from input–output data, using on-line learning. The DGFNN is complete with the following powerful features drawn or modified from the existing literature: (1) a small FNN is created from scratch—there is no need to specify initial network architecture, initial members...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Engineering
سال: 2014
ISSN: 1947-3931,1947-394X
DOI: 10.4236/eng.2014.61005