Parameterization and compensation of friction forces using genetic algorithms

Parameterization and compensation of friction forces using genetic algorithms

In this paper, the use of genetic algorithms in the parameterization and compensation of friction forces is investigated. The static and dynamic parameters of the friction model are estimated in a single identification experiment. A PI controller with parameters optimized using genetic algorithms is...

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1. Verfasser: Al-Duwaish, H.N.
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Sprache:eng
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DC motors
Flowcharts
Friction
Genetic algorithms
Genetic engineering
Genetic mutations
Minerals
Parameter estimation
Petroleum
Servomechanisms
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description In this paper, the use of genetic algorithms in the parameterization and compensation of friction forces is investigated. The static and dynamic parameters of the friction model are estimated in a single identification experiment. A PI controller with parameters optimized using genetic algorithms is used to control the position of a DC motor with friction. Simulation results are included to demonstrate the effectiveness of the proposed method.
doi_str_mv 10.1109/IAS.1999.800020
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identifier ISSN: 0197-2618
ispartof Conference Record of the 1999 IEEE Industry Applications Conference. Thirty-Forth IAS Annual Meeting (Cat. No.99CH36370), 1999, Vol.1, p.653-655 vol.1
issn 0197-2618
2576-702X
language eng
recordid cdi_ieee_primary_800020
source IEEE Electronic Library (IEL) Conference Proceedings
subjects DC motors
Flowcharts
Friction
Genetic algorithms
Genetic engineering
Genetic mutations
Minerals
Parameter estimation
Petroleum
Servomechanisms
title Parameterization and compensation of friction forces using genetic algorithms
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