High performance motion control of DC motors using wavelet networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
Pages2492-2497
Number of pages6
DOIs
Publication statusPublished - 2008
Event2008 American Control Conference, ACC - Seattle, WA, United States
Duration: Jun 11 2008Jun 13 2008

Other

Other2008 American Control Conference, ACC
CountryUnited States
CitySeattle, WA
Period6/11/086/13/08

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Yousef, H. A., Elkhatib, M. E., & Sebakhy, O. A. (2008). High performance motion control of DC motors using wavelet networks. In Proceedings of the American Control Conference (pp. 2492-2497). [4586865] https://doi.org/10.1109/ACC.2008.4586865