This paper presents the modeling, identification, and compensation of cogging and resistive forces in tubular permanent magnet linear motors (PMLMs). An observer-based model that includes the effects of cogging, backlash, inertia, Coulomb, and viscous frictions, as well as back electromotive force is presented. Least square optimization is carried out to identify the model, and the weakness of fast Fourier transform (FFT) in PMLMs with short translators for precise wavelength determination is discussed. The identified model is used as a directional estimator in a closed-loop controller to compensate the disturbance forces induced by the PMLM to a secondary mechanism. Experimental results show a reduction of the disturbance force energy up to 31.96 dB.
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ASME 2017 Dynamic Systems and Control Conference
October 11–13, 2017
Tysons, Virginia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5828-8
PROCEEDINGS PAPER
Identification and Compensation of Cogging and Friction Forces in Tubular Permanent Magnet Linear Motors
Amir Hosein Zamanian,
Amir Hosein Zamanian
Southern Methodist University, Dallas, TX
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Edmond Richer
Edmond Richer
Southern Methodist University, Dallas, TX
Search for other works by this author on:
Amir Hosein Zamanian
Southern Methodist University, Dallas, TX
Edmond Richer
Southern Methodist University, Dallas, TX
Paper No:
DSCC2017-5180, V002T04A003; 7 pages
Published Online:
November 14, 2017
Citation
Zamanian, AH, & Richer, E. "Identification and Compensation of Cogging and Friction Forces in Tubular Permanent Magnet Linear Motors." Proceedings of the ASME 2017 Dynamic Systems and Control Conference. Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications. Tysons, Virginia, USA. October 11–13, 2017. V002T04A003. ASME. https://doi.org/10.1115/DSCC2017-5180
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