Advertisement
Published in:
2015 | OriginalPaper | Chapter
Hands-on Industrial Process Modelling Using the MATLAB System Identification Toolbox
Author : Abubakar Sadiq Bappah
Published in: Industrial Engineering, Management Science and Applications 2015
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
This paper employs a MATLAB based system identification toolbox (SID) to obtain a mathematical model of a loss-in-weight (LIW) feeder. In this study a pseudorandom binary sequence (PRBS) was used to excite a loss-in-weight feeder used in a cement manufacturing process. The input and output data were then processed using a MATLAB system identification toolbox that yielded an ARMAX model of the process. The identified model was sufficiently validated in the MATLAB control toolbox. Details of data capture, system identification, open-loop simulation, and validation tests were presented in this paper. The results are well assuring to control practitioners and students that MATLAB SID toolbox is a perfect candidate for offline process identification.