Abstract
Automation of some tasks requires the speed control of dc motors, this also requires a speed observer. In this work it is described a method that combines two sensorless speed techniques for speed estimation without sensors, one of them is based on the dynamic motor model and the other one is based in the ripple component. It is also evaluated the improvement introduced by combining both techniques using as reference the accuracy provided by a method based only on the ripple component. The results clearly show, that the method based on both sensorless speed techniques provides important improvements in the detection of the speed, when the speed is small or when it is changing.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. Vas. “Sensorless vector and direct torque control”. Oxford University Press, 1998.
M. Hilairet, D. Diallo and M. E. H. Benbouzid. “A selfreconfigurable and fault-tolerant induction motor control architecture for hybrid electric vehicles”. Int. Conf. on Electrical Machines (ICEM). September 2006.
M. Hilairet and F. Auger. “Sensorless speed measurement using current harmonic spectral estimation in a DC-motor”. In Proc.SPEEDAM2006 pp 740-745
W. Leonhard. “Control of electrical drives”. Springer Verlag 1985.
P. Chevrel, and S. Siala. “Robust DC-motor speed control without any mechanical sensor”. Proc. Electrimacs, Saint-Nazaire, September 1996.
B. Trump. “DC motor speed controller: control a DC motor without tachometer feedback”. Application Bulletin, Burr-Brown, 1999.
T. Leephakpreeda. “Sensorless DC motor drive via optimal observer-based servo control”. Optim. Control Appl. Methods, 2002, 23, (5), pp. 289–301.
K. Jaszczak, and T. Orlowska-Kowalska,. “Sensorless adaptive fuzzy logic control of DC drive with neural inertia estimator”. J. Electr. Eng., 2003, 3, (1).
J. X. Shen, Z. Q. Zhu, and D. Howe. “Sensorless flux-weakening control of permanent magnet brushless machines using third-harmonic back-EMF”. IEEE Int. Electric Mach. Drives Conf., IEMDC’03, 2003, vol. 2, pp. 1229–1235.
Z. Z. Liu, F. L. Luo, and M. H. Rashid. “Speed nonlinear control of DC motor drive with field weakening”. IEEE Trans. Ind. Appl., 2003, 39, (2), pp. 417–423.
S. R. Bowes, A. Sevinc, and D. Holliday. “New natural observer applied to speed-sensorless DC servo and induction motors”. IEEE Trans. Ind. Electron., 2004, 51, (5), pp. 1025–1032.
S. Li, G. Hai-Hiao, T. Watanabe, and O. Ichinokura. “Sensorless control of DC motors based on extended observers”. 11th Int. Power Electronics Motion Control Conf., EPE-PEMC, 2004, vol. 2, pp. 376–381.
K. Ohishi, Y. Nakamura, Y. Hojo, and H. Kobayashi. “High-performance speed control based on an instantaneous speed observer considering the characteristics of a dc chopper in a low speed range”. Electr. Eng. Jap., 2000, 130, (3), pp. 77–87.
Baoguo Yuan, Zhihua Hu and Zhengxin Zhou. “Expression of Sensorless Speed Estimation in Direct Current Motor with Simplex Lap Winding”, International Conference on Mechatronics and Automation 2007.
S. Erwin Kessler, M. Wolfgang Schulter. “Method for establishing the rotational speed of mechanically commutated d.c. motors”. U. S. Patent, No. 6 144 179. November 2000.
M. John Ma, L. Steven Weiss. “Motor pulse extraction system”. U. S. Patent, No. 4 684 858. August 1987.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media B.V.
About this paper
Cite this paper
Sánchez, E.V., Gil, J.G., Álvarez, M.R. (2010). Accuracy improvement evaluation in sensorless dc motor speed estimation by combining the dynamic motor model and the ripple component detection. In: Iskander, M., Kapila, V., Karim, M. (eds) Technological Developments in Education and Automation. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3656-8_35
Download citation
DOI: https://doi.org/10.1007/978-90-481-3656-8_35
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-3655-1
Online ISBN: 978-90-481-3656-8
eBook Packages: Humanities, Social Sciences and LawEducation (R0)