Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach

Obinna Christopher Anyim; Joseph Michael Môm; Jonathan Uhaa Agber

doi:doi:10.11648/j.ajmse.20170205.16

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Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach

Obinna Christopher Anyim, Joseph Michael Môm, Jonathan Uhaa Agber

Published in American Journal of Management Science and Engineering (Volume 2, Issue 5)

Received: 13 March 2017 Accepted: 12 April 2017 Published: 23 October 2017

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Abstract

The principles of controlling an AC driven three phase induction motor employing constant volts/hertz (v/f) control method and the space vector pulse width modulation (SVPWM) technique are reviewed. The induction motor is one of the most common electrical motors in usage, owing to its unique characteristics. Its further application strength requires a robust, problem handling, fast and intelligent speed control system. As a result of this, developing an intelligent knowledge based fuzzy logic controller (FLC) became eminent, and on this basis, this paper is presented. By varying the motor speed with input reference speed, an error signal and a feedback loop is generated. The FLC then operates on the principles of mapping with corrective measure of an error signal generated and it is regulated by sets of programmable IF-THEN rules integrating the Mamdani fuzzy inference approach. The rules projected and formed are used to overcome drawbacks such as complexities and insensitivities to changes in model parameters associated to conventional controllers. The application of the constant v/f method was used to maintain constant voltage to frequency ratio, therefore, creating a constant magnetic field and a maximum torque throughout the operating range. This in turn generates a voltage and an angle command for the actualization of the SVPWM technique. This entire set up was repeated but now with a classical control method like the proportional integral differential (PID) controller. With a simulation time of 2s, results showed that with FLC, a better speed response can be achieved from a 5Hp 350V 50Hz AC motor attaining steady-state at 0.21s at no-load conditions. Simulation results showed a superior dynamic scheme of the FLC over the PI controller in terms of sensitivity to changes in model parameters. With a load torque of 10Nm applied at 1s, the FLC achieved stability at 1.2s still maintaining a constant speed of 157rads/s.

Published in	American Journal of Management Science and Engineering (Volume 2, Issue 5)
DOI	10.11648/j.ajmse.20170205.16
Page(s)	123-131
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Three Phase AC Induction Motor Drive, Scalar Closed Loop, Fuzzy Logic Approach, SVPWM Technique

References

[1]	Allen-Bradley (2000) ‘Pulse Width Modulated (PWM) Drives’.
[2]	Anmol Aggarwal, J. N. Rai, Maulik Kandpal (2015) ‘Comparative Study of Speed Control of Induction Motor Using PI and Fuzzy Logic Controller’. IOSR Journal of Electrical and Electronics Engineering, Vol. 10, pp. 43-52.
[3]	Ashok Kusagur, Dr. Kodad S. F., Dr. Sankarram B. V., (2005) ‘Modelling of Induction Motor and Control of Speed Using Hybrid Controllers Technology’. Journal of Theoretical and applied information Technology.
[4]	Divya Rai, Swati Sharma, Vijay Bhuria, (2012) ‘Fuzzy Speed Controllers Design of 3- IM’, ISSN 2250-2459, Vol. 2, Issue 5 pp. 145-149. International Journal of Emerging Technology and Advanced Engineering (IJETAE).
[5]	Eaton Corporation, Cutler-Hammer (2008). ‘AC Drive Theory and Applications’. Application Guide AP04014005E.
[6]	Gaber El-Saady, El-Nobi A. Ibrahim, Mohamed Elbesealy, (2013) ‘ V/f Control of Three-phase IM drive with different PWM techniques’, Innovative System Design and Engineering, Vol. 4, pp. 131-145.
[7]	Jamal A. Ali, Mahammad A. Hannan and Azah Mohaned (2015) ‘Rule-Based Fuzzy and V/f Control for IM Speed Response Using SVPWM Switching Technique’. Prezeglad Elektrotechniczny, pp. 133-136.
[8]	Jin-Woo Jung and Ali Keyhani (2005) ‘Space Vector PWM Inverter’. Mechatronic systems Laboratory, Dept. of Electrical and Computer Engineering, Ohio State University.
[9]	Nagrath I. J. and Gopal M., (2007) ‘Control Systems Engineering,’ New Age International Publishers, Chap. 3.
[10]	Priya Subhash Raichurkar and Asif Liyakat Jamadar (2015) ‘V/f Speed Control of Three-phase IM Using Space Vector Modulation’. International Journal of Engineering Research and Technology (IJERT), Vol. 4.
[11]	Zhenyu Yu and David Figoli (1998) ‘DSP Digital Control System Applications’. Texas Instrument; SPRA284A.

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APA Style

Obinna Christopher Anyim, Joseph Michael Môm, Jonathan Uhaa Agber. (2017). Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach. American Journal of Management Science and Engineering, 2(5), 123-131. https://doi.org/10.11648/j.ajmse.20170205.16

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ACS Style

Obinna Christopher Anyim; Joseph Michael Môm; Jonathan Uhaa Agber. Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach. Am. J. Manag. Sci. Eng. 2017, 2(5), 123-131. doi: 10.11648/j.ajmse.20170205.16

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AMA Style

Obinna Christopher Anyim, Joseph Michael Môm, Jonathan Uhaa Agber. Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach. Am J Manag Sci Eng. 2017;2(5):123-131. doi: 10.11648/j.ajmse.20170205.16

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@article{10.11648/j.ajmse.20170205.16,
  author = {Obinna Christopher Anyim and Joseph Michael Môm and Jonathan Uhaa Agber},
  title = {Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach},
  journal = {American Journal of Management Science and Engineering},
  volume = {2},
  number = {5},
  pages = {123-131},
  doi = {10.11648/j.ajmse.20170205.16},
  url = {https://doi.org/10.11648/j.ajmse.20170205.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20170205.16},
  abstract = {The principles of controlling an AC driven three phase induction motor employing constant volts/hertz (v/f) control method and the space vector pulse width modulation (SVPWM) technique are reviewed. The induction motor is one of the most common electrical motors in usage, owing to its unique characteristics. Its further application strength requires a robust, problem handling, fast and intelligent speed control system. As a result of this, developing an intelligent knowledge based fuzzy logic controller (FLC) became eminent, and on this basis, this paper is presented. By varying the motor speed with input reference speed, an error signal and a feedback loop is generated. The FLC then operates on the principles of mapping with corrective measure of an error signal generated and it is regulated by sets of programmable IF-THEN rules integrating the Mamdani fuzzy inference approach. The rules projected and formed are used to overcome drawbacks such as complexities and insensitivities to changes in model parameters associated to conventional controllers. The application of the constant v/f method was used to maintain constant voltage to frequency ratio, therefore, creating a constant magnetic field and a maximum torque throughout the operating range. This in turn generates a voltage and an angle command for the actualization of the SVPWM technique. This entire set up was repeated but now with a classical control method like the proportional integral differential (PID) controller. With a simulation time of 2s, results showed that with FLC, a better speed response can be achieved from a 5Hp 350V 50Hz AC motor attaining steady-state at 0.21s at no-load conditions. Simulation results showed a superior dynamic scheme of the FLC over the PI controller in terms of sensitivity to changes in model parameters. With a load torque of 10Nm applied at 1s, the FLC achieved stability at 1.2s still maintaining a constant speed of 157rads/s.},
 year = {2017}
}

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TY  - JOUR
T1  - Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach
AU  - Obinna Christopher Anyim
AU  - Joseph Michael Môm
AU  - Jonathan Uhaa Agber
Y1  - 2017/10/23
PY  - 2017
N1  - https://doi.org/10.11648/j.ajmse.20170205.16
DO  - 10.11648/j.ajmse.20170205.16
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 123
EP  - 131
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20170205.16
AB  - The principles of controlling an AC driven three phase induction motor employing constant volts/hertz (v/f) control method and the space vector pulse width modulation (SVPWM) technique are reviewed. The induction motor is one of the most common electrical motors in usage, owing to its unique characteristics. Its further application strength requires a robust, problem handling, fast and intelligent speed control system. As a result of this, developing an intelligent knowledge based fuzzy logic controller (FLC) became eminent, and on this basis, this paper is presented. By varying the motor speed with input reference speed, an error signal and a feedback loop is generated. The FLC then operates on the principles of mapping with corrective measure of an error signal generated and it is regulated by sets of programmable IF-THEN rules integrating the Mamdani fuzzy inference approach. The rules projected and formed are used to overcome drawbacks such as complexities and insensitivities to changes in model parameters associated to conventional controllers. The application of the constant v/f method was used to maintain constant voltage to frequency ratio, therefore, creating a constant magnetic field and a maximum torque throughout the operating range. This in turn generates a voltage and an angle command for the actualization of the SVPWM technique. This entire set up was repeated but now with a classical control method like the proportional integral differential (PID) controller. With a simulation time of 2s, results showed that with FLC, a better speed response can be achieved from a 5Hp 350V 50Hz AC motor attaining steady-state at 0.21s at no-load conditions. Simulation results showed a superior dynamic scheme of the FLC over the PI controller in terms of sensitivity to changes in model parameters. With a load torque of 10Nm applied at 1s, the FLC achieved stability at 1.2s still maintaining a constant speed of 157rads/s.
VL  - 2
IS  - 5
ER  -

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Author Information

Obinna Christopher Anyim

Department of Electrical and Electronics Engineering, University of Agriculture, Makurdi, Nigeria
Joseph Michael Môm
Jonathan Uhaa Agber

Department of Electrical and Electronics Engineering, University of Agriculture, Makurdi, Nigeria

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APA Style

Obinna Christopher Anyim, Joseph Michael Môm, Jonathan Uhaa Agber. (2017). Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach. American Journal of Management Science and Engineering, 2(5), 123-131. https://doi.org/10.11648/j.ajmse.20170205.16

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ACS Style

Obinna Christopher Anyim; Joseph Michael Môm; Jonathan Uhaa Agber. Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach. Am. J. Manag. Sci. Eng. 2017, 2(5), 123-131. doi: 10.11648/j.ajmse.20170205.16

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AMA Style

Obinna Christopher Anyim, Joseph Michael Môm, Jonathan Uhaa Agber. Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach. Am J Manag Sci Eng. 2017;2(5):123-131. doi: 10.11648/j.ajmse.20170205.16

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@article{10.11648/j.ajmse.20170205.16,
  author = {Obinna Christopher Anyim and Joseph Michael Môm and Jonathan Uhaa Agber},
  title = {Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach},
  journal = {American Journal of Management Science and Engineering},
  volume = {2},
  number = {5},
  pages = {123-131},
  doi = {10.11648/j.ajmse.20170205.16},
  url = {https://doi.org/10.11648/j.ajmse.20170205.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20170205.16},
  abstract = {The principles of controlling an AC driven three phase induction motor employing constant volts/hertz (v/f) control method and the space vector pulse width modulation (SVPWM) technique are reviewed. The induction motor is one of the most common electrical motors in usage, owing to its unique characteristics. Its further application strength requires a robust, problem handling, fast and intelligent speed control system. As a result of this, developing an intelligent knowledge based fuzzy logic controller (FLC) became eminent, and on this basis, this paper is presented. By varying the motor speed with input reference speed, an error signal and a feedback loop is generated. The FLC then operates on the principles of mapping with corrective measure of an error signal generated and it is regulated by sets of programmable IF-THEN rules integrating the Mamdani fuzzy inference approach. The rules projected and formed are used to overcome drawbacks such as complexities and insensitivities to changes in model parameters associated to conventional controllers. The application of the constant v/f method was used to maintain constant voltage to frequency ratio, therefore, creating a constant magnetic field and a maximum torque throughout the operating range. This in turn generates a voltage and an angle command for the actualization of the SVPWM technique. This entire set up was repeated but now with a classical control method like the proportional integral differential (PID) controller. With a simulation time of 2s, results showed that with FLC, a better speed response can be achieved from a 5Hp 350V 50Hz AC motor attaining steady-state at 0.21s at no-load conditions. Simulation results showed a superior dynamic scheme of the FLC over the PI controller in terms of sensitivity to changes in model parameters. With a load torque of 10Nm applied at 1s, the FLC achieved stability at 1.2s still maintaining a constant speed of 157rads/s.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - Comparative Analysis on Speed Control of a Three Phase Induction Motor Drive Using Proportional Integral Differential and Scalar Closed Loop Fuzzy Logic Approach
AU  - Obinna Christopher Anyim
AU  - Joseph Michael Môm
AU  - Jonathan Uhaa Agber
Y1  - 2017/10/23
PY  - 2017
N1  - https://doi.org/10.11648/j.ajmse.20170205.16
DO  - 10.11648/j.ajmse.20170205.16
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 123
EP  - 131
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20170205.16
AB  - The principles of controlling an AC driven three phase induction motor employing constant volts/hertz (v/f) control method and the space vector pulse width modulation (SVPWM) technique are reviewed. The induction motor is one of the most common electrical motors in usage, owing to its unique characteristics. Its further application strength requires a robust, problem handling, fast and intelligent speed control system. As a result of this, developing an intelligent knowledge based fuzzy logic controller (FLC) became eminent, and on this basis, this paper is presented. By varying the motor speed with input reference speed, an error signal and a feedback loop is generated. The FLC then operates on the principles of mapping with corrective measure of an error signal generated and it is regulated by sets of programmable IF-THEN rules integrating the Mamdani fuzzy inference approach. The rules projected and formed are used to overcome drawbacks such as complexities and insensitivities to changes in model parameters associated to conventional controllers. The application of the constant v/f method was used to maintain constant voltage to frequency ratio, therefore, creating a constant magnetic field and a maximum torque throughout the operating range. This in turn generates a voltage and an angle command for the actualization of the SVPWM technique. This entire set up was repeated but now with a classical control method like the proportional integral differential (PID) controller. With a simulation time of 2s, results showed that with FLC, a better speed response can be achieved from a 5Hp 350V 50Hz AC motor attaining steady-state at 0.21s at no-load conditions. Simulation results showed a superior dynamic scheme of the FLC over the PI controller in terms of sensitivity to changes in model parameters. With a load torque of 10Nm applied at 1s, the FLC achieved stability at 1.2s still maintaining a constant speed of 157rads/s.
VL  - 2
IS  - 5
ER  -

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