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Position Control for PM Synchronous Motor Using Fuzzy Neural Network

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3498))

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Abstract

A robust position controller with linear-quadratic (LQ) method and fuzzy neural-network (FNN) technique for permanent magnet synchronous motor (PMSM) is presented in this paper. An FNN controller is implemented to preserve a favorable model-following characteristics under various operating conditions. The performance of the proposed drive is investigated both in experiment and simulation at different condition.

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References

  1. Chen, Y.C., Teng, C.C.: A Model Reference Control Structure Using a Fuzzy Neural Network. Fuzzy Sets and Systems 73, 291–312 (1995)

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  2. Lin, F.J., Wai, R.J., Chen, H.P.: A PM Synchronous Servo Motor DriveWith an On-Line Trained Fuzzy Neural Network Controller. IEEE Trans. on Energy Conversion 13, 319–325 (1998)

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  3. Wai, R.J., Lin, F.J.: Fuzzy Neural Network Sliding-Mode Position Controller for Induction Serve Motor Drive. IEEE Proc. -Electr. Power Appl. 146, 297–308 (1999)

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© 2005 Springer-Verlag Berlin Heidelberg

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Wang, J., Peng, H., Jian, X. (2005). Position Control for PM Synchronous Motor Using Fuzzy Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3498. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427469_28

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  • DOI: https://doi.org/10.1007/11427469_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25914-5

  • Online ISBN: 978-3-540-32069-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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