COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION

M. A. Hossain, A. A. Madkour, K. P. Dahal

Abstract

This research presents an investigation into the comparative performance in implementing intelligent system identification and control algorithms. Several approaches for on-line system identification and control are explored and evaluated to demonstrate the merits in implementing the algorithms for similar level of error convergence. Active vibration control (AVC) of a flexible beam system is considered as a platform for the investigation. The AVC system is designed using three different on-line identification approaches, which include (a) genetic algorithms (GAs) (b) adaptive neuro-fuzzy inference system (ANFIS) and (c) recursive least square (RLS) estimation. These algorithms are used to estimate a linear discrete model of the system. Based on these algorithms, different approaches of the AVC system are implemented, tested and validated to evaluate the relative merits of the algorithms. Finally, a comparative performance of the error convergence performance in implementing the identification and control algorithms is presented and discussed through a set of experiments.

References

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Paper Citation


in Harvard Style

A. Hossain M., A. Madkour A. and P. Dahal K. (2005). COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION . In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO, ISBN 972-8865-31-7, pages 364-367. DOI: 10.5220/0001179903640367


in Bibtex Style

@conference{icinco05,
author={M. A. Hossain and A. A. Madkour and K. P. Dahal},
title={COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION},
booktitle={Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,},
year={2005},
pages={364-367},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001179903640367},
isbn={972-8865-31-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Volume 3: ICINCO,
TI - COMPARATIVE PERFORMANCE OF INTELLIGENT IDENTIFICATION AND CONTROL ALGORITHMS FOR A FLEXIBLE BEAM VIBRATION
SN - 972-8865-31-7
AU - A. Hossain M.
AU - A. Madkour A.
AU - P. Dahal K.
PY - 2005
SP - 364
EP - 367
DO - 10.5220/0001179903640367