Hands-on industrial process modelling using the MATLAB system identification toolbox

Abstract

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-inweight 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.