Identification of a Box-Jenkins model for rotary drilling laboratory prototype Academic Article

abstract

• Conventionally, analytical modelling is used to analyse the dynamics of complex non-linear processes. This paper presents identification of mathematical models by the black box modelling method for non-linear systems. The non-linear system concerned in this work is a laboratory prototype of a rotary drilling rig. The system concerned is distinguished for its additive non-linearity at the output end. The step by step analysis of the procedures and criteria used to select an accurate model for a non-linear process by the black box identification method is explained. The model identified in the paper is a Box-Jenkins model. The model selection procedure uses least squares method, pole zero plots and residual analysis. Accurate simulation results with less than 0.05% error are obtained. The identified Box-Jenkins model is validated by a twofold validation procedure. Copyright 2012 Inderscience Enterprises Ltd..

authors

• Karkoub, Mansour

published proceedings

• INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL

author list (cited authors)

• Majeed, F. A., Karki, H., Karkoub, M., & Magid, Y. A.

citation count

• 2

complete list of authors

• Majeed, Fesmi Abdul||Karki, Hamad||Karkoub, Mansour||Magid, Youssef Abdel

publication date

• January 2012

publisher

• Inderscience Publishers  Publisher

published in

• International Journal of Modelling, Identification and Control  Journal

keywords

• Box-jenkins Model
• Drill String
• Least Squares
• Modelling
• Non-linear Process
• System Identification

Digital Object Identifier (DOI)

• 10.1504/IJMIC.2012.051082

start page

• 302

end page

• 314

volume

• 17

issue

• 4

URL

• http://dx.doi.org/10.1504/ijmic.2012.051082