Skip to main content
SpringerLink
Log in

Fuzzy Logic Control Design for Induction Motor Speed Control Improvement Through Field Oriented Control

  • Conference paper
  • First Online:
Information Technology Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 253))

  • 1147 Accesses

Abstract

This paper focuses on improving induction motor performance by controlling its speed. The induction motor speed is controlled using field oriented control based structure associated with an induction motor. The field oriented control is implemented by combining with fuzzy logic control to reduce the uncertainties factors. The fuzzy logic control is developed based on Mamdani method. The inputs of fuzzy logic control are the error and derivative error between actual and reference speed of induction motor. The output of fuzzy logic control is the reference electric torque. The fuzzy logic control input output variables membership functions are chosen based on the parameters of the motor model. Motor state variables are identified indirect from induction motor model. The controller develops is implemented MATLAB Simulink. The simulation result shows that the fuzzy logic control is a suitable controller for improving induction motor performance with gives less settling time and steady state error than Proportional Integral Derivative control.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Rathi MG (2010) Speed control of induction motor/: Fuzzy Logic Control v/s PI Control10:223–230

    Google Scholar 

  2. Lin CT, Lee CSG (1996) Neural Fuzzy Systems: A Neuro-Fuzzy Synergism to Intelligent Systems. Prentice-Hall, Upper Saddle River

    Google Scholar 

  3. Lai YS, Lin JC (2003) New hybrid fuzzy controller for direct torque control induction motor drives. IEEE Trans Power Electron 18:1211–1219

    Article  Google Scholar 

  4. Youb LA, Craciunescu (2009) Direct torque control of induction motors with fuzzy minimization torque ripple. In: Proceeding WESCO, 2, pp 713–717

    Google Scholar 

  5. Uddin MN, Member S, Hafeez M (2012) FLC-Based DTC Scheme to Improve the Dynamic Performance of an IM Drive.48: 823–831

    Google Scholar 

  6. Wai RJ, Chang JM (2003) Implementation of robust wavelet neural network sliding mode control for induction servo motor drive. IEEE Trans Ind Electron 50:1317–1334

    Article  Google Scholar 

  7. Wai RJ, Chang HH (2004) Backstepping wavelet neural network control for indirect field-oriented induction motor drive. IEEE Trans Neural Netw 15:367–382

    Article  Google Scholar 

  8. Brdys MA, Kulowski GJ (1999) Dynamic neural controllers for induction motor. IEEE Trans Neural Netw 10:340–355

    Article  Google Scholar 

  9. Ebrahim OS, Salem MF, Jain PK, Badr MA (2010) Application of linear quadratic regulator theory to the stator field-oriented control of induction motors. IET Electr Power Appl 4:637–646

    Article  Google Scholar 

  10. Bose BK (2002) Modern Power Electronics and AC Drives. Prentice Hall, Knoxville

    Google Scholar 

  11. Vas P (1998) Sensorless vector control and direct torque control. Clarendon Press, Oxford

    Google Scholar 

  12. Bodson M, Chiasson J, Novotnak R (1994) High-performance induction motor control via input output linearization. In: IEEE Control Syst Mag, 24–33

    Google Scholar 

  13. Georges D, De WC, Ramirez J (1999) Nonlinear H2 and H1 optimal controllers for current-fed induction motors. IEEE Trans Automat Control 44:1430–1435

    Article  MATH  MathSciNet  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  15. Marino R, Peresada S, Tomei P (1999) Global adaptive output feedback control of induction motors with uncertain rotor resistance. IEEE Trans Automat Control 44:967–983

    Article  MATH  MathSciNet  Google Scholar 

Download references

Acknowledgments

This work has been supported by Center of Graduate Studies Universiti Tun Hussein Onn Malaysia and Ministry of Higher Education.

Author information

Authors and Affiliations

  1. Robotic and Mechatronic Department, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Batu Pahat, Johor, Malaysia

    Roslina Mat Ariff & Dirman Hanafi

  2. Electrical Power Department, Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia, Parit Raja, 86400, Batu Pahat, Johor, Malaysia

    Whayu Mulyo Utomo, Kok Boon Ching, Nooradzianie Muhd Zin, Sy Yi Sim & Azuwien Aida Bhohari

Authors
  1. Roslina Mat Ariff
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dirman Hanafi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Whayu Mulyo Utomo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kok Boon Ching
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Nooradzianie Muhd Zin
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Sy Yi Sim
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Azuwien Aida Bhohari
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Roslina Mat Ariff .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Dept. Information & Communication Engineering, Fukuoka Institute of Technology Fac. Information Engineering, Fukuoka, Japan

    Leonard Barolli

  3. Departament De Llenguatges I Sistemes Informàtics, Universitat Politècnica De Catalunya, Barcelona, Spain

    Fatos Xhafa

  4. Humanitas College, Kyung Hee University, Seoul, Korea, Republic of (South Korea)

    Hwa-Young Jeong

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Ariff, R.M. et al. (2013). Fuzzy Logic Control Design for Induction Motor Speed Control Improvement Through Field Oriented Control. In: Park, J., Barolli, L., Xhafa, F., Jeong, HY. (eds) Information Technology Convergence. Lecture Notes in Electrical Engineering, vol 253. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6996-0_29

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-6996-0_29

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-6995-3

  • Online ISBN: 978-94-007-6996-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation