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Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Friction

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 40))

Abstract

In this chapter, a novel adaptive neuro-fuzzy backstepping control scheme is developed for induction machines with unknown model, uncertain load-torque and nonlinear friction. Neuro-fuzzy systems are used to online approximate the uncertain nonlinearities and an adaptive backstepping technique is employed to systematically construct the control law. The proposed adaptive fuzzy controller guarantees the tracking error converge to a small neighborhood of the origin and the boundedness of all closed-loop signals. These neuro-fuzzy systems are adjusted on-line according to some adaptation laws deduced from the stability analysis in the sense of Lyapunov. Compared to previous works, the proposed controller can effectively deal with the induction motors drives with both unified nonlinear frictions and (structured and unstructured) uncertainties. In fact, this present work can be seen as a non- trivial extension of the previous works. Simulation results are provided to demonstrate the effectiveness of the proposed control approach.

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References

  1. Arbin, E., Gregory, M.: Adaptive backstepping control of a speed-sensorless induction motor under time-varying load torque and rotor resistance uncertainty. In: Proceedings of the 38th Southeastern Symposium on System Theory, Tennessee Technological University Cookeville, TN, USA, pp. 512–518, March 5–7 (2006)

    Google Scholar 

  2. Agamy, M., Youcef, H.A., Sebakhy, O.A.: Adaptive fuzzy variable structure control of induction motors. In: Proceedings of the Canadian Conference of Computer and Electrical Engineering, pp. 89–94, Niagara Falls, Canada (2004)

    Google Scholar 

  3. Boulkroune, A., Tadjine, M., M’saad, M., Farza, M.: How to design a fuzzy adaptive control based on observers for uncertain affine nonlinear systems. Fuzzy Sets Syst. 159, 926–948 (2008)

    Google Scholar 

  4. Boulkroune, A., M’saad, M.: A fuzzy adaptive variable-structure control scheme for uncertain chaotic MIMO systems with sector nonlinearities and dead-zones. Expert Syst. Appl. 38, 4744–4750 (2011)

    Google Scholar 

  5. Boulkroune, A.: M’saad, M.: On the design of observer-based fuzzy adaptive controller for nonlinear systems with unknown control gain sign. Fuzzy Sets Syst. 201, 71–85 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  6. Boulkroune, A., M’saad, M.: Fuzzy adaptive observer-based projective synchronization for nonlinear systems with input nonlinearity. J. Vib. Control, 18, 437–450 (2012)

    Google Scholar 

  7. Boulkroune, A., M’saad, M., Farza, M.: Adaptive fuzzy tracking control for a class of MIMO nonaffine uncertain systems. Neurocomptiung, 93, 48–55 (2012)

    Google Scholar 

  8. Boulkroune, A., M’saad, M., Farza, M.: Fuzzy approximation-based indirect adaptive controller for multi-input multi-output non-affine systems with unknown control direction. IET Control Theory Appl. 17, 2619–2629 (2012)

    Google Scholar 

  9. Boulkroune, A., Bounar, N., M’saad, M., Farza, M.: Indirect adaptive fuzzy control scheme based on observer for nonlinear systems: A novel SPR-filter approach. Neurocomputing, 135: 378–387 (2014)

    Google Scholar 

  10. Boulkroune, A., M’saad, M., Farza, M.: State and output feedback fuzzy variable structure controllers for multivariable nonlinear systems subject to input nonlinearities. Int. J. Adv. Manuf. Technol. 71, 539–556 (2014)

    Google Scholar 

  11. Boulkroune, A., Tadjine, M., M’Saad, M., Farza, M.: Design of a unified adaptive fuzzy observer for uncertain nonlinear systems. Inf. Sci. 265, 139–153 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  12. Boulkroune, A., Bouzeriba, A., Hamel, S., Bouden, T.: A projective synchronization scheme based on fuzzy adaptive control for unknown multivariable chaotic systems. Nonlinear Dyn. 78(1), 433–447 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  13. Bounar, N., Boulkroune, A., Boudjema, F.: Fuzzy adaptive controller for a DFI-motor. In: Complex System Modelling and Control Through Intelligent Soft Computations (pp. 87–110). Springer International Publishing, New York City (2015)

    Google Scholar 

  14. Chiasson, J.: A new approach to dynamic feedback linearization control of an induction motor. IEEE Trans. Autom. Control 43, 391–397 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  15. Ezziani, N., Essounbouli, N., Hamzaoui, A.: Backstepping fuzzy adaptive controller of induction machine. In Proceedings of the 16th Mediterranean Conference on Control and Automation, Ajaccio, France, pp. 1622–1627 (2008)

    Google Scholar 

  16. Ezziani, N., Essounbouli, N., Hamzaoui, A.: Backstepping adaptive type-2 fuzzy controller for induction machine. In: IEEE international symposium on Indus. Electronics, Cambridge (UK), pp. 443–448 (2008)

    Google Scholar 

  17. Ezziani, N., Essounbouli, N., Hamzaoui, A.: An AFB controller of induction machine under amplitude and rate saturation constraints. In: 35th Annual Conference of IEEE Industrial Electronics, 2009. IECON’09, pp. 1026–1032 (2009)

    Google Scholar 

  18. Gao, Y., Wang, H., Liu, Y.J.: Adaptive fuzzy control with minimal leaning parameters for electric induction motors. Neurocomputing 156, 143–150 (2015)

    Article  Google Scholar 

  19. Ghamri, A., Benchouia, M.T., Benbouzid, M.E.H., Golea, A., Zouzou, S.E.: Simulation and control of AC/DC converter and induction machine speed using adaptive fuzzy controller. In: Proceedings of International Conference on Electrical Machines and Systems, Seoul, Korea, pp. 539–542 (2007)

    Google Scholar 

  20. Hwang, Y.H., Park, K.K., Yang, H.W.: Robust adaptive backstepping control for efficiency optimization of induction motors with uncertainties. In: IEEE International Symposium on Industrial Electronics, pp. 878–883 (2008)

    Google Scholar 

  21. Kwan, C.M., Lewis, F.L.: Robust backstepping control of induction motors using neural networks. IEEE Trans. Neural Netw. 11(5), 1178–1187 (2000)

    Article  Google Scholar 

  22. Krause, P.C.: Analysis of Electric Machinery. McGraw-Hill, New York, NY (2000)

    Google Scholar 

  23. Liu, J.K., Sun, F.C.: Research and development on theory and algorithms of sliding mode control. Control Theory Appl. 24(3), 407–418 (2007)

    MathSciNet  MATH  Google Scholar 

  24. Lin, F.J., Shen, P.H., Hsu, S.P.: Adaptive sliding mode control for linear induction motor drive, IEEE Proc. Power Appl. 149(3), 184–194 (2002)

    Google Scholar 

  25. Makkar, C., Dixon, W.E., Sawyer, W.G., Hu, G.: A new continuously differentiable friction model for control systems design. In: Proceedings of the 2005 IEEE/ASME, International Conference on Advanced Intelligent Mechatronics, Monterey, California, USA (2005)

    Google Scholar 

  26. Masumpoor, S., Khanesar, M.A.: Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor. Expert Syst. Appl. 42(19), 6635–6647 (2015)

    Article  Google Scholar 

  27. Marino, R., Peresada, S., Valigi, P.: Adaptive input-output linearizing control of induction motors. IEEE Trans. Autom. Control 38(2), 208–221 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  28. Saghafinia, A., Ping, H.W., Uddin, M.N., Gaeid, K.S.: Adaptive fuzzy sliding-mode control into chattering-free IM drive. IEEE Trans. Ind. Appl. 51(1), 692–701 (2015)

    Article  Google Scholar 

  29. Tan, Y., Chang, J., Tan, H.: Adaptive backstepping control and friction compensation for AC servo with inertia and load uncertainties. IEEE Trans. Ind. Electron. 50(5), 944–952 (2003)

    Article  Google Scholar 

  30. Wai, R.J., Lin, K.M., Lin, C.Y.: Total sliding-mode speed control of field oriented induction motor servo drive. In: Proceedings of the 5th Asian Control Conference, Australia, pp. 1354–1361 (2004)

    Google Scholar 

  31. Wang, L.X.: Adaptive Fuzzy Systems and Control: Design and Stability Analysis. Prentice-Hall, Englewood Cliffs, NJ (1994)

    Google Scholar 

  32. Wang, S.Y., Tseng, C.L., Chiu, C.J.: Online speed controller scheme using adaptive supervisory TSK-fuzzy CMAC for vector controlled induction motor drive. Asian J. Control 16(5), 1–13 (2015)

    MathSciNet  MATH  Google Scholar 

  33. Youcef, H.A., Wahba, M.A.: Adaptive fuzzy MIMO control of induction motors. Expert Syst. Appl. 36(1), 4171–4175 (2009)

    Article  Google Scholar 

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Authors and Affiliations

  1. LAJ, University of Jijel, BP. 98 Ouled-Aissa, 18000, Jijel, Algeria

    Abdesselem Boulkroune

  2. LCP, ENP, BP. 182 10 Avenue Hassan Badi El-Harrach, Algiers, Algeria

    Salim Issaouni & Hachemi Chekireb

Authors
  1. Abdesselem Boulkroune
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  2. Salim Issaouni
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  3. Hachemi Chekireb
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Correspondence to Abdesselem Boulkroune .

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Editors and Affiliations

  1. Faculty of Engineering, Universidad Panamericana, Mexico City, Mexico

    Hiram Eredín Ponce Espinosa

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Boulkroune, A., Issaouni, S., Chekireb, H. (2016). Adaptive Neuro-Fuzzy Controller of Induction Machine Drive with Nonlinear Friction. In: Espinosa, H. (eds) Nature-Inspired Computing for Control Systems. Studies in Systems, Decision and Control, vol 40. Springer, Cham. https://doi.org/10.1007/978-3-319-26230-7_7

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  • DOI: https://doi.org/10.1007/978-3-319-26230-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26228-4

  • Online ISBN: 978-3-319-26230-7

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