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Application of Artificial Neural Network for Speed Control of Servodrive with Variable Parameters

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Mechatronics 2013
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Abstract

This paper presents the problem of position control with adaptive and robust speed controller for PMSM with variable moment of inertia. Both controllers use the technique of artificial neural networks. An adaptive speed control is trained on-line, and robust is trained off-line method. The position of the linear control were presented. Simulation results have been confirmed by experiment.

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References

  1. Akpolat, H.Z., Asher, G.M., Clare, J.C.: A practical approach to the design of robust speed controllers for machine drives. IEEE Transaction on Industrial Electronics 47(2), 315–324 (2000)

    Article  Google Scholar 

  2. Astrom, K., Hagglund, T.: PID controllers: Theory, design and tuning. ISA Research Triangle Park (1995)

    Google Scholar 

  3. Ellis, G.: Control System Design Guide: Using Your Computer to Understand and Diagnose Feedback Controllers, 3rd edn. Elsevier, Academic Press (2004)

    Google Scholar 

  4. Grzesiak, L., Meganek, V., Sobolewski, J.: Ufnalski B., DTC_SVM Drive with ANN-based Speed Controller. In: PELINCEC Conference. Warsaw University of Technology, CD (2005)

    Google Scholar 

  5. Grzesiak, L.M., Meganek, V., Sobolewski, J., Ufnalski, B.: On-line Trained Neural Speed Controller with Variable Weight Update Period for Direct-Torque-Controller AC Drive. In: EPE-PEMC Conference, Portoroz, CD (2006)

    Google Scholar 

  6. El-Sousy, F.F.M.: High-performance neural-network model-following speed controller for vector-controlled PMSM drive system. In: 2004 IEEE International Conference Industrial Technology, IEEE ICIT 2004, vol. 1, pp. 418–424 (2004)

    Google Scholar 

  7. Orlowska-Kowalska, T., Szabat, K.: Control of the Drive System with Stiff and Elastic Coupling using Adaptive Neuro-Fuzzy Approach. IEEE Trans. on Industrial Electronics 51(4), 228–240 (2007)

    Article  Google Scholar 

  8. Leonard, W.: Control of electrical drives. Springer, Heiderberg (2001)

    Book  Google Scholar 

  9. Pajchrowski, T., Zawirski, K.: Adaptive Neural Speed Controller for PMSM Servodrive with Variable Parameters. In: Proceedings of EPE-PEMC 2012 ECCE Europe Conference and Exposition, Novi Sad, Serbia, September 4-6 (2012)

    Google Scholar 

  10. Pajchrowski, T., Zawirski, K.: Application of artificial neural network for adaptive speed control of PMSM drive with variable parameters. In: Proceedings of XXII Symposium on Electromagnetic Phenomena in Nonlinear Circuits, EPNC 2012, Pula, Croatia, June 26-29 (2012)

    Google Scholar 

  11. Pajchrowski, T., Zawirski, K.: Application of Artificial Neural Network to Robust Speed Control of Servodrive. IEEE Transaction on Industrial Electronics 54(1), 200–207 (2007)

    Article  Google Scholar 

  12. Riedmiller, M., Braun, H.: A direct adaptive method for faster backpropagation learning: The RPROP algorithm. In: IEEE International Conference on Neural Networks, March 28- April 1, vol. 1, pp. 586–591 (1993)

    Google Scholar 

  13. Rahman, M.A., Hoque, M.A.: On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors. IEEE Transactions on Energy Conversion 13(4), 311–318 (1988)

    Article  Google Scholar 

  14. Rutkowski, L.: Computational Intelligence Methodts and Techniques. Springer (2008)

    Google Scholar 

  15. Vittek, J., BriÅ›, P., KakyÅ›, P., Åštulrajter, M., VavruÅ›, V.: Control of Flexible Drive with PMSM emploing Forced Dynamics. In: Proc. 13th International Power Electronics and Motion (2008)

    Google Scholar 

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Correspondence to T. Pajchrowski .

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Pajchrowski, T. (2014). Application of Artificial Neural Network for Speed Control of Servodrive with Variable Parameters. In: Březina, T., Jabloński, R. (eds) Mechatronics 2013. Springer, Cham. https://doi.org/10.1007/978-3-319-02294-9_87

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  • DOI: https://doi.org/10.1007/978-3-319-02294-9_87

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02293-2

  • Online ISBN: 978-3-319-02294-9

  • eBook Packages: EngineeringEngineering (R0)

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