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Home»Articles»Identification of Robust Controller for 150hp 3 Phase Induction Motor

Identification of Robust Controller for 150hp 3 Phase Induction Motor

Author : H. Sathishkumar and S. S. Parthasarathy
Volume 8 No.1 Special Issue:June 2019 pp 33-38

Abstract

In this paper, comparative performance analysis of Neural network controller and Neuro-fuzzy controller for 150hp (Horse power) three phase induction motor which is used in cable industry (Ravicab cables private limited) at Bidadi is presented. Proportional integral derivative (PID) controller based voltage frequency drive (VFD) is used here to control the speed of 150hp three phase induction motor which is used in cable drawing process. Since VFD used in this industry is affected by several disturbances, robust speed controller is to be interfaced with the three phase induction motor. In order to identify and interface the robust controller, this paper deals with problem of the currently existing cable industry with real time data. Moreover this paper proposes two proposed controller to solve this problem. Performances of these two proposed systems are explained with the help of Simulation and comparison chart. At the end robust controller for this cable industry will be identified.

Keywords

150hp, Neural Network, Neuro-Fuzzy, Robust Controller

Full Text:

References

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[2] Masumpoor, Saleh and Mojtaba Ahmadieh Khanesar, “Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor”, Expert Systems with Applications (Elsevier), Vol. 42, pp. 6635-6647, 2015.
[3] F. Lftisi, G. H. George, A. Aktaibi, C. B. Butt and M. A. Rahman, “Artificial neural network-based speed controller for induction motors”, 42nd Annual Conf of the IEEE, Florence, pp. 2708-2713, Oct. 2016.
[4] Mishra, Ashutosh and Prashant Choudhary, “Artificial Neural Network Based Controller for Speed Control of An Induction Motor (IM) using Indirect Vector Control Method”, International Journal of Power Electronics and Drive Systems, Vol. 2, pp. 402-408, 2012.
[5] Aryza, Solly, Ahmed N. Abdalla, Zulkeflee Khalidin and Zulkarnain Lubis, “Adaptive speed estimation of induction motor based on neural network inverse control”, Procedia Engineering, Vol.15, pp. 4188-4193, 2011.
[6] B. H. Mouna, and S. Lassad, “Neural networks for controlled speed sensorless direct field-oriented induction motor drives”, Journal of Electrical Engineering, Vol. 8, pp. 88-99, 2008.
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[12] Dandil, Besir, Muammer Gokbulut and Fikret Ata, “A PI Type Fuzzyneural Network Controller for Induction Motor Drives”, Journal of Applied Sciences, Vol. 5, pp. 1286-1291, 2005.
[13] Reddy, K. Harshavardhana, Sudha Ramasamy and Prabhu Ramanathan, “Hybrid Adaptive Neuro Fuzzy based speed Controller for Brushless DC Motor”, Gazi University Journal of Science, Vol. 30, pp. 93-110, 2017.
[14] K. Mohanasundaram, Sathiyasekar and N. Rajasekar, “Neuro-fuzzy controller for high performance induction motor drives”, Intl. Journal of Computer Applications, Vol. 38, pp. 12-16, 2012.
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Asian Journal of Electrical Sciences (AJES) is a quarterly international peer-reviewed journal of Electrical Sciences. One of the objectives of this journal is to disseminate knowledge on various research issues connected with the topics include, but are not limited to:

Telecommunications – transmission of information, coax cable, optical fiber or free space, amplitude modulation and frequency modulation, transmitters and receivers, transceiver.
Instrumentation – pressure, flow and temperature, electromagnetic theory, thermocouples, sensors of larger electrical systems, control engineering.
Computers – Computers and computer systems, hardware, software, software engineering.

Power engineering – generation, transmission and distribution of electricity, transformers, electric generators, electric motors, high voltage engineering and power electronics.
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In this paper, comparative performance analysis of Neural network controller and Neuro-fuzzy controller for 150hp (Horse power) three phase induction motor which is used in cable industry (Ravicab cables private limited) at Bidadi is presented. Proportional integral derivative (PID) controller based voltage frequency drive (VFD) is used here to control the speed of 150hp three phase induction motor which is used in cable drawing process. Since VFD used in this industry is affected by several disturbances, robust speed controller is to be interfaced with the three phase induction motor. In order to identify and interface the robust controller, this paper deals with problem of the currently existing cable industry with real time data. Moreover this paper proposes two proposed controller to solve this problem. Performances of these two proposed systems are explained with the help of Simulation and comparison chart. At the end robust controller for this cable industry will be identified.

Editor-in-Chief
Dr. Koray Ulgen
Department of energy engineering, Ege University, Turkey
[email protected]
Editorial Advisory Board
Dr. Rasyidah Binti Mohamad Idris
Department of Electrical Power Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Norhaliza Abdul Wahab
Department of Control & Mechatronics Engineering, Universiti Teknologi Malaysia
[email protected]
Prof. Md Irfan Ahmed
Department of Electrical Engineering, Career Point University, Rajasthan, India
[email protected]
Dr. Sallehuddin Bin Ibrahim
Department of Control And Mechatronics Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Naziha bt. Ahmad Azli
Department of Electrical Power Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Sharul Kamal Bin Abdul Rahim
Department of Communication Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Jasrul Jamani Bin Jamian
Department of Electrical Power Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. T. Rajesh
Department of EEE, INFO Institute of Engineering, Coimbatore, India
[email protected]
Dr. Mohamad Kamal B. A. Rahim
Department of Communication Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Sophan Wahyudi Bin Nawawi
Department of Control and Mechatronics Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Nor Hisham Haji Khamis
Department of Communication Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Cheng Siong Lim
Department of Control and Mechatronic Engineering,Universiti Teknologi Malaysia
[email protected]
Dr. Sharifah Kamilah Bt Syed Yusof
Department of Electrical Engineering Universiti Teknologi Malaysia
[email protected]
Dr. Shahdan Sudin
Department of Control and Mechatronic Engineering, Universiti Teknologi Malaysia
[email protected]
Dr. Razali Bin Ngah
Department of Electrical Engineering, Universiti Teknologi Malaysia
[email protected]

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    Editorial Note

    Editorial Dr. Koray Ulgen

    Editor-in-Chief
    Dr. Koray Ulgen
    Department of energy engineering, Ege University, Turkey
    [email protected]
    Editorial Advisory Board
    Dr. Rasyidah Binti Mohamad Idris
    Department of Electrical Power Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Norhaliza Abdul Wahab
    Department of Control & Mechatronics Engineering, Universiti Teknologi Malaysia
    [email protected]
    Prof. Md Irfan Ahmed
    Department of Electrical Engineering, Career Point University, Rajasthan, India
    [email protected]
    Dr. Sallehuddin Bin Ibrahim
    Department of Control And Mechatronics Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Naziha bt. Ahmad Azli
    Department of Electrical Power Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Sharul Kamal Bin Abdul Rahim
    Department of Communication Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Jasrul Jamani Bin Jamian
    Department of Electrical Power Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. T. Rajesh
    Department of EEE, INFO Institute of Engineering, Coimbatore, India
    [email protected]
    Dr. Mohamad Kamal B. A. Rahim
    Department of Communication Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Sophan Wahyudi Bin Nawawi
    Department of Control and Mechatronics Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Nor Hisham Haji Khamis
    Department of Communication Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Cheng Siong Lim
    Department of Control and Mechatronic Engineering,Universiti Teknologi Malaysia
    [email protected]
    Dr. Sharifah Kamilah Bt Syed Yusof
    Department of Electrical Engineering Universiti Teknologi Malaysia
    [email protected]
    Dr. Shahdan Sudin
    Department of Control and Mechatronic Engineering, Universiti Teknologi Malaysia
    [email protected]
    Dr. Razali Bin Ngah
    Department of Electrical Engineering, Universiti Teknologi Malaysia
    [email protected]

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