Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization

Muhammad Ali Mughal, Mansoor Khan, Aamer Abbas Shah, Aftab Ahmed Almani

2018

Abstract

Parameter estimation plays an important role in system modelling and control. This paper presents a parameter estimation strategy for separately excited DC motor using a chaotic initialized particle swarm optimization algorithm. The parameter estimation problem is converted into an optimization problem using an objective function. The presented strategy is significant in estimating the motor parameters accurately when compared to standard particle swarm optimization portrayed by low mean square error between actual and estimated speed.

Paper Citation

in Harvard Style

Mughal M., Khan M., Shah A. and Almani A. (2018). Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization.In 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT, ISBN 978-989-758-312-4, pages 391-395. DOI: 10.5220/0006971403910395

in Bibtex Style

@conference{icectt18,
author={Muhammad Ali Mughal and Mansoor Khan and Aamer Abbas Shah and Aftab Ahmed Almani},
title={Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization},
booktitle={3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,},
year={2018},
pages={391-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006971403910395},
isbn={978-989-758-312-4},
}

in EndNote Style

TY - CONF

JO - 3rd International Conference on Electromechanical Control Technology and Transportation - Volume 1: ICECTT,
TI - Parameter Estimation of DC Motor Using Chaotic Initialized Particle Swarm Optimization
SN - 978-989-758-312-4
AU - Mughal M.
AU - Khan M.
AU - Shah A.
AU - Almani A.
PY - 2018
SP - 391
EP - 395
DO - 10.5220/0006971403910395