Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
General Smart City Experts’ Perceptions of Citizen Participation: A Questionnaire Survey Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Robust Control of Induction Motor Drive Facing a Large Scale Rotor Resistance Variation

Authors : Yassine Zahraoui, Mohamed Akherraz, Chaymae Fahassa, Sara Elbadaoui

Published in: Innovations in Smart Cities Applications Edition 3

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The vector control of induction motors provides a high performance independent control of torque and flux in similar way to the separate excitation DC machine. Nevertheless, the main disadvantages of this control type is the sensitivity to the machine parameters variation, like the stator and the rotor resistances. To avoid a such problematic, a high robust sliding mode controllers against uncertainties are replaced the classical PI controllers. This research presents an induction motor robust control facing a sudden rotor resistance variation at very low speed, the rotor flux and speed are observed by an extended Kalman filter. Simulation results show that the proposed control provide good performance dynamic characteristics under a large scale rotor resistance variation. All simulations have been realized in MATLAB/Simulink.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter New Hybrid Approach Multi-agents System and Case Based Reasoning for Management of Common Renewable Resources
next chapter Optimization of the Feasibility Study of an Energy Production System Based on the Wind and the Marine Current Turbine in Morocco
Literature
1.
Kazmierkowski, M.P., Krishnan, R., Blaabjerg, F., Irwin, J.D.: Control in Power Electronics: Selected Problems. Academic Press, Cambridge (2002)
2.
Vas, P.: Sensorless Vector and Direct Torque Control. Oxford University Press, Oxford (1998)
3.
Krishnan, R., Doran, F.C.: Study of parameter sensitivity in high-performance inverter-fed induction motor drive systems. IEEE Trans. Ind. Appl. 4, 623–635 (1987)CrossRef
4.
Chandrakanth, S.A., Chelliah, T.R., Srivastava, S.P.: Efficiency determination of induction motor and its sensitivity analysis towards parameter variation. Int. J. Artif. Intell. Soft Comput. 4(2–3), 144–163 (2014)CrossRef
5.
Utkin, V.I.: Sliding mode control design principles and applications to electric drives. IEEE Trans. Ind. Electron. 40(1), 23–36 (1993)CrossRef
6.
El-Gendy, E., Ibrahim, A.F., Saraya, S.F., Areed, F.F.G.: A sliding mode controller for a three phase induction motor. Int. J. Comput. Appl. 64(11) (2013)
7.
Salih, Z.H., Gaeid, K.S., Saghafinia, A.: Sliding mode control of induction motor with vector control in field weakening. Modern Appl. Sci. 9(2), 276 (2015)CrossRef
8.
Kron, G.: Generalized theory of electrical machinery. Trans. Am. Inst. Electr. Eng. 49(2), 666–683 (1930)CrossRef
9.
Pyrhonen, J., Hrabovcova, V., Semken, R.S.: An Introduction. Electrical Machine Drives Control. Wiley, Hoboken (2016)CrossRef
10.
Zahraoui, Y., Bennassar, A., Akherraz, M., Essalmi, A.: Indirect vector control of induction motor using an extended Kalman observer and fuzzy logic controllers. In: 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC), pp. 1–6. IEEE (2015)
11.
Fatima, A., Almas, T., Khader Aziz Biabani, M.A., Imran, M.: Sliding mode control of induction motor used in traction. In: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 3336–3343. IEEE (2016)
12.
Panchade, V.M., Chile, R.H., Patre, B.M.: A survey on sliding mode control strategies for induction motors. Ann. Rev. Control 37(2), 289–307 (2013)CrossRef
13.
Zeb, K., Haider, A., Uddin, W., Qureshi, M.B., Mehmood, C.A., Jazlan, A., Sreeram, V., et al.: Indirect vector control of induction motor using adaptive sliding mode controller. In: 2016 Australian Control Conference (AuCC), pp. 358–363. IEEE (2016)
14.
Kebbati, I., Hammou, Y., Mansouri, A., Bourahla, M.: Sliding mode control with a robust observer of induction motor. Przeglad Elektrotechniczny (Electrical Review) (2012)
15.
Zahraoui, Y., Fahassa, C., Akherraz, M., Bennassar, A.: Sensorless vector control of induction motor using an EKF and SVPWM algorithm. In: 2016 5th International Conference on Multimedia Computing and Systems (ICMCS), pp. 588–593. IEEE (2017)
16.
Vaclavek, P., Blaha, P., Herman, I.: AC drive observability analysis. IEEE Trans. Ind. Electron. 60(8), 3047–3059 (2012)CrossRef
17.
Laowanitwattana, J., Uatrongjit, S.: Estimation of induction motor states and parameters based on extended Kalman filter considering parameter constraints. In: 2016 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), pp. 755–760. IEEE (2016)
18.
Aksoy, S., Mühürcü, A., Kizmaz, H.: State and parameter estimation in induction motor using the extended Kalman filtering algorithm. In: 2010 Modern Electric Power Systems, pp. 1–5. IEEE (2010)
19.
Bennassar, A., Abbou, A., Akherraz, M.: Combining fuzzy luenberger observer and kalman filter for speed sensorless integral backstepping controlled induction motor drive. Int. J. Autom. Control 11(3), 298–313 (2017)CrossRef
20.
Zahraoui, Y., Akherraz, M., Fahassa, C.: Induction motor DTC performance improvement by reducing torque ripples in low speed. U.P.B. Sci. Bull. Ser. C 81(3), 249–260 (2019)
Metadata
Title
Robust Control of Induction Motor Drive Facing a Large Scale Rotor Resistance Variation
Authors
Yassine Zahraoui
Mohamed Akherraz
Chaymae Fahassa
Sara Elbadaoui
Copyright Year
2020
Book
Innovations in Smart Cities Applications Edition 3

Print ISBN: 978-3-030-37628-4

Electronic ISBN: 978-3-030-37629-1

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-37629-1_53

Premium Partner

    Image Credits