Parameterization and compensation of friction forces using geneticalgorithms

(1999) Parameterization and compensation of friction forces using geneticalgorithms. Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE, 1.

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Abstract

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

Item Type: Article
Subjects: Computer
Department: College of Engineering and Physics > Electrical Engineering
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:39
Last Modified: 01 Nov 2019 14:06
URI: https://eprints.kfupm.edu.sa/id/eprint/14518