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Speed and Torque Control of Induction Motor Using Adaptive Neuro-Fuzzy Interference System with DTC

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Advanced Informatics for Computing Research (ICAICR 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 955))

Abstract

Every industry needs speed and torque ripple control of induction motor in large number of applications. The number of induction motor takes more time during starting, settling and transient period. As more time is taken by the motor so there are more losses, more heat, less efficiency and more ripples are produced. To overcome these drawback, direct torque control technique known as conventional technique, is used with induction motors, but with up to certain limits the drawbacks are reduced. In this paper a new technique an Adaptive Neuro-Fuzzy Interference System (ANFIS) with DTC is proposed to overcome the drawbacks of conventional DTC technique. Now by implementing and comparing the proposed technique ANFIS with conventional one it is seen that the system becomes less complicated, the performance of the speed and torque control of the induction motor is also improved. It is also seen that as we compared the proposed technique with conventional one the rise time is reduced by 256 ms settling time is reduced by 687 ms and transient time is reduced by 202 ms and torque ripples are also reduced and the overall performance of the induction motor is improved.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Chandigarh University, Gharuan, Mohali, Punjab, India

    Ranjit Kumar Bindal & Inderpreet Kaur

Authors
  1. Ranjit Kumar Bindal
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  2. Inderpreet Kaur
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Corresponding author

Correspondence to Ranjit Kumar Bindal .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharshi Dayanand University, Rohtak, Haryana, India

    Ashish Kumar Luhach

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  3. National Chung Cheng University, Minxiong Township, Chiayi County, Taiwan

    Pao-Ann Hsiung

  4. Electrical and Electronics Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. Department of Computer Science and Engineering, Jaypee University of Information Technology, Kandaghat, India

    Pradeep Kumar Singh

Appendix

Appendix

The presented control methods have been tested on a 5.4 HP (4 KW) three phase induction motor.

Voltage = 400 V

Frequency = 50 Hz

Inductance of Stator = 5.839 mH

Speed = 1430 rpm

Resistance of rotor = 1.394 Ω

Stator resistance = 0.8 Ω

Inductance of rotor = 2.6 mH

Mutually inductance Lm = 172.2 mH

Pole = 4

Rotor inertia (J) = 0.0129 kg/m2

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Bindal, R.K., Kaur, I. (2019). Speed and Torque Control of Induction Motor Using Adaptive Neuro-Fuzzy Interference System with DTC. In: Luhach, A., Singh, D., Hsiung, PA., Hawari, K., Lingras, P., Singh, P. (eds) Advanced Informatics for Computing Research. ICAICR 2018. Communications in Computer and Information Science, vol 955. Springer, Singapore. https://doi.org/10.1007/978-981-13-3140-4_73

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  • DOI: https://doi.org/10.1007/978-981-13-3140-4_73

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3139-8

  • Online ISBN: 978-981-13-3140-4

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