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Robust Tuning of Embedded Intelligent PID Controller for Induction Motor Using Bacterial Foraging Based Optimization

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Embedded Software and Systems (ICESS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3605))

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Abstract

In this paper, design approach of PID controller with rejection function against external disturbance in motor control system is proposed using bacterial foraging based optimal algorithm. To design disturbance rejection tuning, disturbance rejection conditions based on H  ∞  are illustrated and the performance of response based on the bacterial foraging is computed for the designed PID controller as ITSE (Integral of time weighted squared error). Hence, parameters of PID controller are selected by bacterial foraging based optimal algorithm to obtain the required response.

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References

  1. Xu, J.X., Liu, C., Hang, C.C.: Tuning of Fuzzy PI Controllers Based on Gain/Phase Margin Specifications and ITAE Index. ISA Transactions 35, 79–91 (1996)

    Article  Google Scholar 

  2. Hwa, K.D.: Intelligent tuning of PID controller with robust disturbance rejection function using immune algorithm. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 57–63. Springer, Heidelberg (2004)

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  3. Lee, C.-H., Lee, Y.H., Ch-eng Teng, C.: A novel robust PID controllers design by Fuzzy Neural network. In: Proceedings of the American Control Conference, Anchorage, May 8-10, pp. 1561–1566 (2002)

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  4. Passino, K. M.: Biomimicry of Bacterial Foraging for Distributed Optimization and Control. IEEE Control Systems Magazine (2002)

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  5. Kim, D.H.: Robust PID controller tuning using multiobjective optimization based on clonal selection of immune algorithm. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3213, pp. 50–56. Springer, Heidelberg (2004)

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© 2005 Springer-Verlag Berlin Heidelberg

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Kim, D.H. (2005). Robust Tuning of Embedded Intelligent PID Controller for Induction Motor Using Bacterial Foraging Based Optimization. In: Wu, Z., Chen, C., Guo, M., Bu, J. (eds) Embedded Software and Systems. ICESS 2004. Lecture Notes in Computer Science, vol 3605. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11535409_19

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  • DOI: https://doi.org/10.1007/11535409_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28128-3

  • Online ISBN: 978-3-540-31823-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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