Implementation of DTC in Induction Motor Using Anfis Pi Controller

Authors

  • K. Lakshmi Prasanna   PG Student, EEE Department, Sri Venkateswara University College of Engineering, Andhra Pradesh, India
  • J. N. Chandra Sekhar  Assistant Professor, EEE Department, Sri Venkateswara University College of Engineering, Andhra Pradesh, India
  • G. Marutheeaswar  HOD, EEE Department, Sri Venkateswara University College of Engineering, Andhra Pradesh, India

Keywords:

Direct Torque Control (DTC), Space Vector Modulation (SVM), Speed Sensorless Induction Motor (IM) Drive, Adaptive Neuro-Fuzzy Inference System (ANFIS)

Abstract

This paper describes a mix of direct torque control (DTC) and space vector modulation (SVM) for a customizable speed sensorless induction motor (IM) drive. The motor drive is provided by a two-level SVPWM inverter. The inverter reference voltage is gotten in view of information output criticism linearization control, utilizing the IM display in the stator – axes reference frame with stator current furthermore; transition vectors segments as state factors. Additionally, a powerful full-arrange versatile stator transition observer is intended for a speed sensorless DTC-SVM system and another speed-versatile law is given. By outlining the observer pick up matrix in view of state criticism H_? control hypothesis, the strength and robustness of the observer systems is guaranteed. At last, the viability and validity of the proposed control approach is verified by simulation results.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-04-30

Issue

Volume 4, Issue 4, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K. Lakshmi Prasanna , J. N. Chandra Sekhar, G. Marutheeaswar, " Implementation of DTC in Induction Motor Using Anfis Pi Controller, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 4, pp.422-428, March-April-2018.