DocumentCode
3259106
Title
Parameterization and compensation of friction forces using genetic algorithms
Author
Al-Duwaish, Hussain N.
Author_Institution
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
Volume
1
fYear
1999
fDate
1999
Firstpage
653
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
Keywords
DC motors; compensation; friction; genetic algorithms; machine control; parameter estimation; position control; two-term control; DC motor position control; PI controller; dynamic parameters; friction forces compensation; friction forces parameterisation; genetic algorithms; identification experiment; optimized parameters; static parameters; DC motors; Flowcharts; Friction; Genetic algorithms; Genetic engineering; Genetic mutations; Minerals; Parameter estimation; Petroleum; Servomechanisms;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
Conference_Location
Phoenix, AZ
ISSN
0197-2618
Print_ISBN
0-7803-5589-X
Type
conf
DOI
10.1109/IAS.1999.800020
Filename
800020
Link To Document