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Fuzzy Adaptation in a State Space Controller Applied for a Two-Mass System Cover

Fuzzy Adaptation in a State Space Controller Applied for a Two-Mass System

Open Access
|Oct 2017

References

  1. [1] WANG F., DAVARI S.A., CHEN Z., ZHANG Z., KHABURI D.A., RODRIGUEZ J., KENNEL R., Finite control set model predictive torque control of induction machine with a robust adaptive observer, IEEE Trans. Ind. Electron., 2017, 64(4), 2631-2641.10.1109/TIE.2016.2529558
  2. [2] WU T.-Y., LAI C.-Y, CHEN S., An adaptive neural network compensator for decoupling of dynamic effects of a macro-mini manipulator, IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2015, 1427-1432.10.1109/AIM.2015.7222741
  3. [3] CHEN T.-C., SHEU, T.-T., Model reference neural network controller for induction motor speed control, IEEE Trans. Energy Conv, 2002, 17(2), 157-163.10.1109/TEC.2002.1009462
  4. [4] HUREZEANU A., NICOLA M., SACERDOTIANU D., Sensorless control using the model reference adaptive control estimator in electric drives with high dynamic, International Conference on Applied and Theoretical Electricity (ICATE), Romania, 2016.10.1109/ICATE.2016.7754642
  5. [5] YING-SHIEH K., MING-SHYAN W., CHUNG-CHUN H., Digital Hardware Implementation of Adaptive Fuzzy Controller for AC Motor Drive, Annual Conference of the IEEE Industrial Electronics Society (IECON), Taiwan, 2007, 1208-1213.
  6. [6] KOZAK S., State-of-the-art in control engineering, J. Electr. Syst. Inf. Technol., 2014, 1(1), 1-9.
  7. [7] SZABAT K., Direct and indirect adaptive control of a two-mass drive system. A comparison, Proc. IEEE International Symposium on Industrial Electronics, Cambridge, UK, 2008, 564-569.10.1109/ISIE.2008.4677103
  8. [8] CHANG I.-P., HUNG Y.-C., HWANG J.-C., LIN F.-J., TSAI M.-T., Digital signal processor-based probabilistic fuzzy neural network control of in-wheel motor drive for light electric vehicle, IET Electric Power Applications, 2012, 6(2), 47-61.10.1049/iet-epa.2011.0153
  9. [9] DWIVEDI S., SRIVASTAVA S.P., TAJNE S.K., Comparative Performance Analysis of Vector Controlled Induction Motor Drive for Neural Controller and DSP Implemented PI Controller, International Conference on Communication Systems and Network Technologies (CSNT), India, 2012, 274-281.
  10. [10] CAO J., NGUANG S.K., SALCIC Z., A Floating-Point FPGA-Based Self-Tuning Regulator, IEEE Trans. Ind. Electron., 2006, 53(2), 693-704.10.1109/TIE.2006.871702
  11. [11] KAMINSKI M., ORLOWSKA-KOWALSKA T., FPGA implementation of ADALINE-based speed controller in a two-mass system, IEEE Trans. Ind. Electr., 2013, 9(3), 1301-1311.10.1109/TII.2012.2226451
  12. [12] DOSTALEK P., DOLINAY Y., VASEK V., PEKAR L., Self-tuning digital PID controller implemented on 8-bit freescale microcontroller, Int. J. Math. Models Meth. Appl. Sci., 2010, 4(4), 274-281.
  13. [13] LANDAU I.D., LOZANO R., M’SAAD M., KARIMI A., Adaptive Control Algorithms, Analysis and Applications, Springer-Verlag, London 2011.
  14. [14] CHAIYATHAM T., NGAMROO I., Improvement of power system transient stability by pv farm with fuzzy gain scheduling of PID controller, IEEE Syst. J., 2014, 99, 1-8.
  15. [15] LIN F.-J., WAI R.-J., Adaptive Fuzzy-Neural-Network Control for Induction Spindle Motor Drive, IEEE Trans. En. Conv., 2002, 17(4), 507-513.10.1109/TEC.2002.805225
  16. [16] SEDHURAMAN K., HIMAVATHI S., MUTHURAMALINGAM A., Comparison of learning algorithms for neural network based speed estimator in sensorless induction motor drives, IEEE International Conference on Advances In Engineering, Science and Management (ICAESM), India, 2012, 196-202.
  17. [17] SZABAT K., ORLOWSKA-KOWALSKA T., Vibration suppression in a two-mass drive system using PI speed controller and additional feedbacks. Comparative study, IEEE Trans. Ind. Electr., 2007, 54(2), 1193-1206.10.1109/TIE.2007.892608
  18. [18] ZHANG G., FURSHO J., Speed control of two-inertia system by PI/PID control, IEEE Trans. Ind. Electr., 2000, 47(3), 603-609.10.1109/41.847901
  19. [19] SZABAT K., TRAN-VAN T., KAMINSKI M., A modified fuzzy Luenberger observer for a two-mass drive system, IEEE Trans. Ind. Informatics, 2015, 11(2), 531-539.10.1109/TII.2014.2327912
  20. [20] SYED F.U., KUANG M.L., SMITH M.,OKUBO S., YING H., Fuzzy gain-scheduling proportional-integral control for improving engine power and speed behavior in a hybrid electric vehicle, IEEE Trans. Vehicular Techn., 2009, 58(1), 69-84.10.1109/TVT.2008.923690
  21. [21] KANTHAPHAYAO Y., CHUNKAG V., Current-sharing bus and fuzzy gain scheduling of proportional-integral controller to control a parallel-connected AC/DC converter, IET Power Electr., 2014, 7(10), 2525-2532.10.1049/iet-pel.2013.0807
  22. [22] POPA D.D., CRACIUNESCU A., KREINDLER L., A PI-fuzzy controller designated for industrial motor control applications, IEEE International Symposium on Industrial Electronics (ISIE), 2008, 949-954.10.1109/ISIE.2008.4676954
  23. [23] QIAO J., HAN H.-G., RUAN X., Research on fuzzy neural network based on lyapunov stability theory and its application, Proceedings of the IEEE International Conference on Networking, Sensing and Control, ICNSC, China, 2008.
  24. [24] ATIG A., DRUAUX F., LEFEBVRE D., ABDERRAHIM K., ABDENNOUR R.B., On Lyapunov stability of nonlinear adaptive control based on Neural Networks Emulator and Controller, 20th Mediterranean Conference on Control & Automation (MED), Spain, 2012, 272-277.10.1109/MED.2012.6265650
  25. [25] ZERAATKAR E., KARIMAGHAEE P., NOROOZI N., A quasi-PID backpropagation algorithm based on Lyapunov stability theory for neural network, 19th Iranian Conference on Electrical Engineering (ICEE), 2011.
  26. [26] ZHAO Z.-Y., TOMIZUKA M., ISAKA S., Fuzzy gain scheduling of PID controllers, IEEE Trans. Syst., Man, Cybern., 1993, 23(5), 1392-139810.1109/21.260670
  27. [27] COSTA E.B., SERRA G.L.O., Fuzzy gain scheduling design based on multiobjective particle swarm optimization, Latin America Congress on Computational Intelligence, 2015.10.1109/LA-CCI.2015.7435970
  28. [28] MIRJALILIA S., MIRJALILIB S.M., LEWIS A., Grey Wolf Optimizer, Advances in Engineering Software, 69, 2014, 46-61.10.1016/j.advengsoft.2013.12.007
  29. [29] LEITH D.J., LEITHEAD W.E., Survey of gain-scheduling analysis and design, Int. J. Control, 2000, 73(11), 1001-1025.10.1080/002071700411304
DOI: https://doi.org/10.5277/ped170111 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 135 - 150
Submitted on: Mar 24, 2017
Accepted on: Jun 28, 2017
Published on: Oct 27, 2017
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Mateusz Żychlewicz, Marcin Kamiński, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.