Ant colony based model prediction of a twin rotor system

Toha, Siti Fauziah and Julai, S. and Tokhi, M. Osman (2012) Ant colony based model prediction of a twin rotor system. Procedia Engineering, 41. pp. 1135-1144. ISSN 1877-7058

PDF - Published Version Restricted to Repository staff only Download (317kB) | Request a copy

Abstract

Interest in biologically-inspired optimization techniques has increased due to its accurate results, fast performance and ease of use. In this paper, an ant colony optimization (ACO) technique is deployed and used for modelling a twin rotor system. The system is perceived as a challenging engineering problem due to its strong cross coupling between horizontal and vertical axes and inaccessibility of some of its states and outputs for measurements. Accurate modelling of the system is thus required so as to achieve satisfactory control objectives. It is demonstrated that ACO can be effectively used for modelling the system with highly accurate results. The accuracy of the modelling results is demonstrated through validation tests including training and test validation and correlation tests.

Item Type:	Article (Journal)
Additional Information:	4680/38671
Uncontrolled Keywords:	Ant colony optimisation; Parametric modelling; Twin rotor system; Auto Regressive model
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL500 Aeronautics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User:	Dr. Siti Fauziah Toha
Date Deposited:	09 Oct 2014 16:16
Last Modified:	09 Oct 2014 16:16
URI:	http://irep.iium.edu.my/id/eprint/38671

Actions (login required)

View Item