High performance motion control of DC motors using wavelet networks

Author

Yousef, Hasan A. ; Elkhatib, Mohamed E. ; Sebakhy, Omar A.

Author_Institution

Dept. of Electr. Eng., Alexandria Univ., Alexandria

fYear

2008

fDate

11-13 June 2008

Firstpage

2492

Lastpage

2497

Abstract

Based on the multi-resolution analysis and the wavelet transform, a wavelet network is presented for the control of DC motors. One of the basic advantages of wavelet network is that training is done using the recursive least square method which is suitable for online training usually required for adaptive control. The wavelet network is used to design adaptive speed controllers for a DC motor to achieve high performance speed control even if the motor model is unknown, the load characteristics are also unknown function of speed and the load torque changes online. Simulation and experimental results are presented to validate the proposed controllers.

Keywords

DC motors; adaptive control; angular velocity control; control system synthesis; least squares approximations; machine control; motion control; wavelet transforms; DC motors; adaptive control; adaptive speed controllers; load torque; motion control; multiresolution analysis; recursive least square method; wavelet networks; wavelet transform; Adaptive control; Computer networks; DC motors; Least squares methods; Motion control; Multiresolution analysis; Neural networks; Performance analysis; Wavelet analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2008

Conference_Location

Seattle, WA

ISSN

0743-1619

Print_ISBN

978-1-4244-2078-0

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2008.4586865

Filename

4586865