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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Al-Duwaish, H.N.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
DC motors
Flowcharts
Friction
Genetic algorithms
Genetic engineering
Genetic mutations
Minerals
Parameter estimation
Petroleum
Servomechanisms
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Beschreibung
Zusammenfassung: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.
ISSN:0197-2618
2576-702X
DOI:10.1109/IAS.1999.800020