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 language | English |
|---|---|
| Title of host publication | Proceedings of the American Control Conference |
| Pages | 2492-2497 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 2008 American Control Conference, ACC - Seattle, WA, United States Duration: Jun 11 2008 → Jun 13 2008 |
Other
| Other | 2008 American Control Conference, ACC |
|---|---|
| Country | United States |
| City | Seattle, WA |
| Period | 6/11/08 → 6/13/08 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
High performance motion control of DC motors using wavelet networks. / Yousef, Hasan A.; Elkhatib, Mohamed E.; Sebakhy, Omar A.
Proceedings of the American Control Conference. 2008. p. 2492-2497 4586865.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - High performance motion control of DC motors using wavelet networks
AU - Yousef, Hasan A.
AU - Elkhatib, Mohamed E.
AU - Sebakhy, Omar A.
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=52449087001&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52449087001&partnerID=8YFLogxK
U2 - 10.1109/ACC.2008.4586865
DO - 10.1109/ACC.2008.4586865
M3 - Conference contribution
AN - SCOPUS:52449087001
SN - 9781424420797
SP - 2492
EP - 2497
BT - Proceedings of the American Control Conference
ER -