A New Speed Control Approach of Linear Induction Motor Based on Robust RST Controller and Model Reference Adaptive System Estimator

Document Type : Original Article

Authors

1 Departement of Electrical Engineering, Kasdi Marbah Ouargla University, Algeria

2 LEB – Research Laboratory, Department of Electrical Engineering, Mostefa Benboulaid-Batna 2 University, Algeria

Abstract

In this paper, a new model of linear induction motor including the impact of the end-effect on the motor performances is proposed. Moreover, a new strategy of control approach based on the Field-Oriented Control (FOC) technique is suggested and investigated. The proposed approach can provide a robust control strategy and overcome the limitations imposed by FOC technique, which suffers with some drawbacks in linear induction motor (LIM) such as sensitivity to parameter variations and imperfect dynamic tracking performance. In this context, the developed technique combines the benefits provided by the both approaches polynomial (RST) regulator and Model Reference Adaptive System (MRAS) observer, in order to achieve a robust controller by minimizing the external disturbances effects and reducing the influence of parameter variations. Moreover, it is revealed that the proposed conrol approach enables  an improved  rotor speed response with a reduced number of overshoot values as function of mass variations, where the reccorded maximum overshoot value is 8%. Besides, the devopped controller demonstrates a reducded rise and settling time values under wide applied external force conditions. This confirms that the proposed MRAS-RST technique offers a good dynamic response against the parameter variations. The accuracy and control performance of the proposed technique is checked and validated using Matlab/Simulink environment software tool. Simulation results show the effectiveness of the proposed estimator with improved better robustness for RST controller for different reference tracking and disturbance rejection parameters. These significant results make the proposed approach a promising technique dedicated to the design of high-performance controller, which is highly suitable for industrial and electrical applications.

Keywords

Main Subjects


  1. Loukianov, A., Rivera, J., Alanis, A.Y. and Raygoza, J., "Super-twisting sensorless control of linear induction motors", in 2012 9th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), IEEE. (2012), 1-5.
  2. Kang, G. and Nam, K., "Field-oriented control scheme for linear induction motor with the end effect", IEE Proceedings-Electric Power Applications, Vol. 152, No. 6, (2005), 1565-1572. doi: 10.1049/ip-pa:20045185.
  3. Lin, F.-J. and Lee, C.-C., "Adaptive backstepping control for linear induction motor drive to track periodic references", IEE Proceedings-Electric Power Applications, Vol. 147, No. 6, (2000), 449-458. doi: 10.1049/ip-pa:20000647.
  4. Lin, F.-J., Wai, R.-J., Chou, W.-D. and Hsu, S.-P., "Adaptive backstepping control using recurrent neural network for linear induction motor drive", IEEE Transactions on Industrial Electronics, Vol. 49, No. 1, (2002), 134-146. doi: 10.1109/41.982257.
  5. Liu, J., Lin, F., Yang, Z. and Zheng, T.Q., "Field oriented control of linear induction motor considering attraction force & end-effects", in 2006 CES/IEEE 5th International Power Electronics and Motion Control Conference, IEEE. Vol. 1, (2006), 1-5.
  6. Zhang, L., Dong, Z., Zhao, L. and Laghrouche, S., "Sliding mode observer for speed sensorless linear induction motor drives", IEEE Access, Vol. 9, (2021), 51202-51213. doi: 10.1109/ACCESS.2021.3067805.
  7. Hamzehbahmani, H., "Modeling and simulating of single side short stator linear induction motor with the end effect", Journal of Electrical Engineering, Vol. 62, No. 5, (2011), 302. https://doi.org/10.2478/v10187-011-0048-5
  8. Pucci, M., "Direct field oriented control of linear induction motors", Electric Power Systems Research, Vol. 89, (2012), 11-22. https://doi.org/10.1016/j.epsr.2012.01.012
  9. Markov, B. and Tsankova, D., "Mit rule based model reference adaptive control of linear induction motor", Annals of the Faculty of Engineering Hunedoara, Vol. 12, No. 3, (2014), 95.
  10. Poitiers, F., Bouaouiche, T. and Machmoum, M., "Advanced control of a doubly-fed induction generator for wind energy conversion", Electric Power Systems Research, Vol. 79, No. 7, (2009), 1085-1096. https://doi.org/10.1016/j.epsr.2009.01.007
  11. Jacknoon, A., Hassan, M. and El Ferik, S., "Design of rst controllers based on intelligent optimization algorithms", in 2016 Conference of Basic Sciences and Engineering Studies (SGCAC), IEEE., (2016), 177-182.
  12. Abdurraqeeb, A.M., Al-Shamma’a, A.A., Alkuhayli, A., Noman, A.M. and Addoweesh, K.E., "Rst digital robust control for dc/dc buck converter feeding constant power load", Mathematics, Vol. 10, No. 10, (2022), 1782. doi: 10.3390/math10101782.
  13. Boudallaa, A., Chennani, M., Belkhayat, D. and Rhofir, K., "Vector control of asynchronous motor of drive train using speed controller h∞", Emerging Science Journal, Vol. 6, No. 4, (2022), 834-850. doi: 10.28991/ESJ-2022-06-04-012.
  14. Ismail, L.S., Lupu, C. and Alshareefi, H., "Design of adaptive-rst controller for nonlinear magnetic levitation system using multiple zone-model approach in real-time experimentation", Applied System Innovation, Vol. 5, No. 5, (2022), 93. https://doi.org/10.3390/asi5050093
  15. Khadraoui, S. and Rakotondrabe, M., "Characterization and rst control of a nonlinear piezoelectric actuator for a robotic hand", IFAC-PapersOnLine, Vol. 55, No. 27, (2022), 375-380. https://doi.org/10.1016/j.ifacol.2022.10.542
  16. Lipcak, O., Baum, F. and Bauer, J., "Influence of selected non-ideal aspects on active and reactive power mras for stator and rotor resistance estimation", Energies, Vol. 14, No. 20, (2021), 6826. https://doi.org/10.3390/en14206826
  17. Bednarz, S.A. and Dybkowski, M., "Estimation of the induction motor stator and rotor resistance using active and reactive power based model reference adaptive system estimator", Applied Sciences, Vol. 9, No. 23, (2019), 5145. https://doi.org/10.3390/app9235145
  18. Cao, P., Zhang, X. and Yang, S., "A unified-model-based analysis of mras for online rotor time constant estimation in an induction motor drive", IEEE Transactions on Industrial Electronics, Vol. 64, No. 6, (2017), 4361-4371. doi: 10.1109/TIE.2017.2668995.
  19. Maiti, S., Chakraborty, C., Hori, Y. and Ta, M.C., "Model reference adaptive controller-based rotor resistance and speed estimation techniques for vector controlled induction motor drive utilizing reactive power", IEEE Transactions on Industrial Electronics, Vol. 55, No. 2, (2008), 594-601. doi: 10.1109/TIE.2007.911952.
  20. Cao, P., Zhang, X., Yang, S., Xie, Z. and Zhang, Y., "Reactive-power-based mras for online rotor time constant estimation in induction motor drives", IEEE Transactions on Power Electronics, Vol. 33, No. 12, (2018), 10835-10845. doi: 10.1109/TPEL.2018.2800010.
  21. Mapelli, F.L., Tarsitano, D. and Cheli, F., "A rotor resistance mras estimator for ev induction motor traction drive based on torque and reactive stator power: Simulation and experimental results", in 2014 international conference on electrical machines (ICEM), IEEE., (2014), 31-37.
  22. Vasic, V., Vukosavic, S.N. and Levi, E., "A stator resistance estimation scheme for speed sensorless rotor flux oriented induction motor drives", IEEE Transactions on Energy Conversion, Vol. 18, No. 4, (2003), 476-483. doi: 10.1109/TEC.2003.816595.
  23. Agrebi, Y., Yassine, K. and Boussak, M., "Sensorless speed control with mras for induction motor drive", in Proceedings of the 20th International Conference on Electrical Machines (ICEM), Marseille, France., (2012), 2-5.
  24. Jo, G.-J. and Choi, J.-W., "A novel method for the identification of the rotor resistance and mutual inductance of induction motors based on mrac and rls estimation", Journal of Power Electronics, Vol. 18, No. 2, (2018), 492-501. https://doi.org/10.6113/JPE.2018.18.2.492
  25. Mapelli, F.L., Bezzolato, A. and Tarsitano, D., "A rotor resistance mras estimator for induction motor traction drive for electrical vehicles", in 2012 XXth International Conference on Electrical Machines, IEEE., (2012), 823-829.
  26. Basak, S., Teja, A.R., Chakraborty, C. and Hori, Y., "A new model reference adaptive formulation to estimate stator resistance in field oriented induction motor drive", in IECON 2013-39th Annual Conference of the IEEE Industrial Electronics Society, IEEE., (2013), 8470-8475.
  27. Teja, A.R., Chakraborty, C., Maiti, S. and Hori, Y., "A new model reference adaptive controller for four quadrant vector controlled induction motor drives", IEEE Transactions on Industrial Electronics, Vol. 59, No. 10, (2011), 3757-3767. doi: 10.1109/TIE.2011.2164769.
  28. Yang, S., Cao, P. and Zhang, X., "Stability analysis of q-axis rotor flux based model reference adaptive system updating rotor time constant in induction motor drives", CES Transactions on Electrical Machines and Systems, Vol. 1, No. 2, (2017), 109-116. doi: 10.23919/TEMS.2017.7961292.
  29. Yu, X., Dunnigan, M.W. and Williams, B.W., "A novel rotor resistance identification method for an indirect rotor flux-orientated controlled induction machine system", IEEE Transactions on Power Electronics, Vol. 17, No. 3, (2002), 353-364. doi: 10.1109/TPEL.2002.1004243.
  30. Feyzi, M.R. and Holakooie, M.H., "Sensorless indirect field oriented control of single-sided linear induction motor with a novel sliding mode mras speed estimator", International Journal of Engineering, Transactions A: Basics, Vol. 28, No. 7, (2015), 1011-1020. doi: 10.5829/idosi.ije.2015.28.07a.07.
  31. Boldea, I. and Nasar, S.A., "Linear motion electromagnetic devices, Taylor & Francis, (1997).
  32. Gieras, J., Dawson, G. and Eastham, A., "A new longitudinal end effect factor for linear induction motors", IEEE Transactions on Energy Conversion, Vol., No. 1, (1987), 152-159. doi: 10.1109/TEC.1987.4765816.
  33. Faiz, J. and Jagari, H., "Accurate modeling of single-sided linear induction motor considers end effect and equivalent thickness", IEEE Transactions on Magnetics, Vol. 36, No. 5, (2000), 3785-3790. doi: 10.1109/20.908365.
  34. Motlagh, S. and Fazel, S.S., "Indirect vector control of linear induction motor considering end effect", in 2012 3rd Power Electronics and Drive Systems Technology (PEDSTC), IEEE., (2012), 193-198.
  35. da Silva, E.F., Dos Santos, E.B., Machado, P. and De Oliveira, M., "Dynamic model for linear induction motors", in IEEE International Conference on Industrial Technology, 2003, IEEE. Vol. 1, (2003), 478-482.
  36. Cirrincione, M., Accetta, A., Pucci, M. and Vitale, G., "Mras speed observer for high-performance linear induction motor drives based on linear neural networks", IEEE Transactions on Power Electronics, Vol. 28, No. 1, (2012), 123-134. doi: 10.1109/TPEL.2012.2200506.
  37. Alonge, F., Cirrincione, M., D’Ippolito, F., Pucci, M. and Sferlazza, A., "Active disturbance rejection control of linear induction motor", IEEE Transactions on Industry Applications, Vol. 53, No. 5, (2017), 4460-4471. doi: 10.1109/TIA.2017.2697845.
  38. Davari, S.A., Wang, F. and Kennel, R.M., "Robust deadbeat control of an induction motor by stable mras speed and stator estimation", IEEE Transactions on Industrial Informatics, Vol. 14, No. 1, (2017), 200-209. doi: 10.1109/TII.2017.2756900.
  39. Das, S., Kumar, R. and Pal, A., "Mras-based speed estimation of induction motor drive utilizing machines'd-and q-circuit impedances", IEEE Transactions on Industrial Electronics, Vol. 66, No. 6, (2018), 4286-4295. doi: 10.1109/TIE.2018.2860530.
  40. Wu, S., Liu, Z. and Su, H., "Adaptive sliding mode sensorless vector control of induction motor using sliding mode mras observer", in 2017 36th Chinese Control Conference (CCC), IEEE., (2017), 9124-9129.
  41. Reddy, C.U., Prabhakar, K.K., Singh, A.K. and Kumar, P., "Speed estimation technique using modified stator current error-based mras for direct torque controlled induction motor drives", IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 8, No. 2, (2019), 1223-1235. doi: 10.1109/JESTPE.2019.2901523.
  42. Vazifedan, M. and Zarchi, H.A., "A stator resistance estimation algorithm for sensorless dual stator winding induction machine drive using model reference adaptive system", in 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), IEEE., (2020), 1-7.
  43. Hachicha, F. and Krichen, L., "Performance analysis of a wind energy conversion system based on a doubly-fed induction generator", in Eighth International Multi-Conference on Systems, Signals & Devices, IEEE., (2011), 1-6.
  44. Zhang, L., Xia, Y., Zhang, W., Yang, W. and Xu, D., "Adaptive command-filtered fuzzy nonsingular terminal sliding mode backstepping control for linear induction motor", Applied Sciences, Vol. 10, No. 21, (2020), 7405. https://doi.org/10.3390/app10217405