Wavelet network-based motion control of DC motors

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

doi:10.1016/j.eswa.2009.06.069

Wavelet network-based motion control of DC motors

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

25 Citations (Scopus)

Abstract

In this paper, a wavelet network is presented to design different controllers for DC motors based on the multi-resolution analysis and the wavelet transform. 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 effectiveness of the proposed controllers.

Original language	English
Pages (from-to)	1522-1527
Number of pages	6
Journal	Expert Systems with Applications
Volume	37
Issue number	2
DOIs	https://doi.org/10.1016/j.eswa.2009.06.069
Publication status	Published - Mar 2010
Externally published	Yes

Keywords

DC motors
Inverse control
Least square methods
Multi-resolution analysis
Wavelet networks

ASJC Scopus subject areas

General Engineering
Computer Science Applications
Artificial Intelligence

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10.1016/j.eswa.2009.06.069

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title = "Wavelet network-based motion control of DC motors",

abstract = "In this paper, a wavelet network is presented to design different controllers for DC motors based on the multi-resolution analysis and the wavelet transform. 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 effectiveness of the proposed controllers.",

keywords = "DC motors, Inverse control, Least square methods, Multi-resolution analysis, Wavelet networks",

author = "Yousef, {Hasan A.} and Elkhatib, {Mohamed E.} and Sebakhy, {Omar A.}",

year = "2010",

month = mar,

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T1 - Wavelet network-based motion control of DC motors

AU - Yousef, Hasan A.

AU - Elkhatib, Mohamed E.

AU - Sebakhy, Omar A.

PY - 2010/3

Y1 - 2010/3

N2 - In this paper, a wavelet network is presented to design different controllers for DC motors based on the multi-resolution analysis and the wavelet transform. 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 effectiveness of the proposed controllers.

AB - In this paper, a wavelet network is presented to design different controllers for DC motors based on the multi-resolution analysis and the wavelet transform. 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 effectiveness of the proposed controllers.

KW - DC motors

KW - Inverse control

KW - Least square methods

KW - Multi-resolution analysis

KW - Wavelet networks

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JO - Expert Systems with Applications

JF - Expert Systems with Applications

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Wavelet network-based motion control of DC motors

Abstract

Keywords

ASJC Scopus subject areas

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