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
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;
Conference_Titel :
Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5589-X
DOI :
10.1109/IAS.1999.800020
