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An Improved Fuzzy Neural Network for Ultrasonic Motors Control

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Advances in Neural Networks – ISNN 2007 (ISNN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4491))

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Abstract

A newly developed non-symmetric sinusoidal membership function (NSSMF) is constructed. An improved fuzzy neural network controller using NSSMF is constructed to control the speed of ultrasonic motors. A dynamic algorithm with adaptive learning rate is used to train FNNC online. The global convergence of the FNNC systems could be guaranteed by adjusting the adaptive learning rate. The validity of the proposed scheme is examined by simulated experiments.

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References

  1. Sashida, T., Kenjo, T.: An Introduction to Ultrasonic Motors. Clarendon, Oxford (1993)

    Google Scholar 

  2. Senjyu, T., Yokoda, S., Uezato, K.: A Study on High-efficiency Drive of Ultrasonic Motors. Electric Power Components and Systems 29, 179–189 (2001)

    Article  Google Scholar 

  3. 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. Journal of Micromechanics and Microengineering 13, 104–114 (2003)

    Article  Google Scholar 

  4. Xu, X., Liang, Y.C., Lee, H.P., Lin, W.Z., Lim, S.P., Lee, K.H., Shi, X.H.: A Stable Adaptive Neural-network-based Scheme for Dynamical System Control. Journal of Sound and Vibration 285, 653–667 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  5. Lin, F.J., Wai, R.J., Duan, R.Y.: Fuzzy Neural Networks for Identification and Control of Ultrasonic Motor Drive with LLCC Resonant Technique. IEEE Trans. Industrial Electronics 46, 999–1011 (1999)

    Article  Google Scholar 

  6. Senjyu, T., Yokoda, S., Uezato, K.: Speed Control of Ultrasonic Motors Using Fuzzy Neural Network. Journal of Intelligent and Fuzzy Systems 8, 135–146 (2000)

    Google Scholar 

  7. Chou, K.T., Chung, S.W., Chan, C.C.: Neuro-fuzzy Speed Tracking Control of Traveling-Wave Ultrasonic Motor Drives Using Direct Pulsewidth Modulation. IEEE Trans. Industry Applications 39, 1061–1069 (2003)

    Article  Google Scholar 

  8. Wu, W., Feng, G., Li, Z., Xu, Y.: Deterministic Convergence of an Online Gradient Method for BP Neural Networks. IEEE Trans. Neural Networks 16, 533–540 (2005)

    Article  Google Scholar 

  9. Zhang, N., Wu, W., Zheng, G.: Convergence of Gradient Method with Momentum for Two-Layer Feedforward Neural Networks. IEEE Trans. Neural Networks 17, 522–525 (2006)

    Article  Google Scholar 

  10. 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, 514–523 (2003)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. College of Mathematics, Jilin University, Key Laboratory of Symbol Computation and, Knowledge Engineering of the Ministry of Education, Changchun 130012, China

    Xu Xu

  2. College of Computer Science and Technology, Jilin University, Key Laboratory of Symbol, Computation and Knowledge Engineering of the Ministry of Education, Changchun, China

    Yuxiao Zhang & Yanchun Liang

  3. Department of Applied Mathematics, South China University of Technology, Guangzhou, 510640, P. R. China

    Xiaowei Yang & Zhifeng Hao

Authors
  1. Xu Xu
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  2. Yuxiao Zhang
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  3. Yanchun Liang
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  4. Xiaowei Yang
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  5. Zhifeng Hao
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering (M/C 154), University of Illinois at Chicago, 851 S. Morgan Street, 60607-7053, Chicago, IL, USA

    Derong Liu

  2. School of Automation, Southeast University, 210096, Nanjing, China

    Shumin Fei

  3. Laboratory of Complex Systems, Institute of Automation, Chinese Adacemy of Sciences, 100080, Beijing, P. R. China

    Zeng-Guang Hou

  4. School of Information Science and Engineering, Northeast University, Shenyang, 110004, China

    Huaguang Zhang

  5. School of Electrical Engineering, Hohai University, Nanjing, 210098, China

    Changyin Sun

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© 2007 Springer-Verlag Berlin Heidelberg

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Xu, X., Zhang, Y., Liang, Y., Yang, X., Hao, Z. (2007). An Improved Fuzzy Neural Network for Ultrasonic Motors Control. In: Liu, D., Fei, S., Hou, ZG., Zhang, H., Sun, C. (eds) Advances in Neural Networks – ISNN 2007. ISNN 2007. Lecture Notes in Computer Science, vol 4491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72383-7_2

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  • DOI: https://doi.org/10.1007/978-3-540-72383-7_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72382-0

  • Online ISBN: 978-3-540-72383-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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