FPGA Controlled Stator Resistance Estimation in IVC of IM Using FLC

α
B. Mouli Chandra
B. Mouli Chandra
σ
Dr. S.Tara Kalyani
Dr. S.Tara Kalyani
α Jawaharlal Nehru Technological University, Hyderabad

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FPGA Controlled Stator Resistance Estimation in IVC of IM Using FLC

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Abstract

In this paper online estimation of stator resistance in indirect vector control (IVC) of Induction motor (IM) is proposed using fuzzy logic controller (FLC). It is renowned that stator resistance of Induction motor which is sensitive to temperature rise in machine leads to performance deterioration as resistance used in controller is dissimilar from actual stator resistance. Here the effect of change in stator resistance is examined in terms of stator current, rotor flux and torque and corrected using fuzzy logic controller algorithm. The proposed algorithm was tested using MATLAB/SIMULINK software and practically implemented in Field programming Gate array (FPGA) Controller.

References

8 Cites in Article
  1. R Kerkman,B Seibel,T Rowan,D Schlegel (1996). A new flux and stator resistance identifier for AC drive systems.
  2. T Habetler,F Profumo,G Griva,M Pastorelli,A Bettini (1998). Stator resistance tuning in a stator-flux field-oriented drive using an instantaneous hybrid flux estimator.
  3. R Marino,S Peresada,P Tomei (2000). Online stator and rotor resistance estimation for induction motors.
  4. G Guidi,H Umida (2000). A novel stator resistance estimation method for speed-sensorless induction motor drives.
  5. M Zakay,M Khater,H Yasin,S Shorkralla (2008). Speed and stator resistance Identification schemes for Low Speed Sensorless Induction Motor Drive.
  6. Luis Garces (1980). Parameter Adaption for the Speed-Controlled Static AC Drive with a Squirrel-Cage Induction Motor.
  7. G Rafajlovski,E Ratz,D Manov (1997). Modeling Analysis and simulation of motor parameter variation in vector controlled electrical drives/ department of electrical machines.
  8. L Sbita,Ben Hamed,M (2007). Fuzzy controlled and ANN speed estimation for induction motor drives.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

B. Mouli Chandra. 2013. \u201cFPGA Controlled Stator Resistance Estimation in IVC of IM Using FLC\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 13 (GJRE Volume 13 Issue F13): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

October 31, 2013

Language
en
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Published Article

In this paper online estimation of stator resistance in indirect vector control (IVC) of Induction motor (IM) is proposed using fuzzy logic controller (FLC). It is renowned that stator resistance of Induction motor which is sensitive to temperature rise in machine leads to performance deterioration as resistance used in controller is dissimilar from actual stator resistance. Here the effect of change in stator resistance is examined in terms of stator current, rotor flux and torque and corrected using fuzzy logic controller algorithm. The proposed algorithm was tested using MATLAB/SIMULINK software and practically implemented in Field programming Gate array (FPGA) Controller.

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FPGA Controlled Stator Resistance Estimation in IVC of IM Using FLC

B. Mouli Chandra
B. Mouli Chandra Jawaharlal Nehru Technological University, Hyderabad
Dr. S.Tara Kalyani
Dr. S.Tara Kalyani

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