Abstract
A novel dynamic time delay neural network is proposed for ultrasonic motors identification and control in this paper. By introducing time delay neurons, the neural network identifier and controller of ultrasonic motors are constructed. Both of them are trained online by using an improved back-propagation algorithm. The usefulness and validity of the presented algorithm is examined by the experiments.
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References
Sashida, T., Kenjo, T.: An Introduction to Ultrasonic Motors. Clarendon, Oxford (1993)
Xu, X., Liang, Y.C., Lee, H.P., Lin, W.Z., Lim, S.P., Lee, K.H., Shi, X.H.: Identification and Speed Control of Ultrasonic Motors Based on Neural Networks. Institute of Physics Publishing, Journal of Micromechanics and Microengineering 13(1), 104–114 (2003)
Yazdizadeh, A., Khorasani, K.: Adaptive Time Delay Neural Network Structures for Nonlinear System Identification. Neurocomputing 47(1-4), 207–240 (2002)
Yabuta, T., Yamada, T.: Learning Control Using Neural Networks. In: Proc. IEEE Int. Conf. Robotics and Automation, Sacramento, CA, pp. 740–745 (April 1991)
Xu, X., Liang, Y.C., Lee, H.P., Lin, W.Z., Lim, S.P., Lee, K.H.: Mechanical Modeling of a Longitudinal Oscillation Ultrasonic Motor and Temperature Effect Analysis. Smart Materials and Structures 12(4), 514–523 (2003)
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© 2006 Springer-Verlag Berlin Heidelberg
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Liang, Y., Zhang, J., Xu, X., Yang, X., Hao, Z. (2006). A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_159
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DOI: https://doi.org/10.1007/11760023_159
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34437-7
Online ISBN: 978-3-540-34438-4
eBook Packages: Computer ScienceComputer Science (R0)