Testing of genetic -PI based controller for IPMSM drive

M. A. Rahman; M. A. Hoque; C. B. Butt; M. Nasir Uddin; M. A. Abido

doi:10.1109/ICIT.2002.1189874

Testing of genetic -PI based controller for IPMSM drive

M. A. Rahman, M. A. Hoque, C. B. Butt, M. Nasir Uddin, M. A. Abido

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

This paper presents a laboratory testing of genetic algorithm (CA) based self-tuned PI controller for the speed control of interior permanent magnet synchronous motor (IPMSM). A radial basis artificial neural network function is used for on-line tuning of the PI controller. GA has been used in this work in order to obtain the optimized values of the PI constants for precise speed control. An performance index has been developed using GA, whose minimum value ensures zero steady-state error, minimum speed deviation and minimum settling time of the IPMSM drive. The initial values of the radial basis function network (RBFN) are obtained through off-line learning. Training data for off-line learning are generated by simulating the IPMSM drive under various operating conditions and uncertainties. For on-line implementation, the PI constants are tuned by updating the parameters of the RBFN maintaining the genetic performance index at its minimum value. In real time implementation, the proposed controller has been realized using a digital signal processor (DSP) board DS1102 for a 1hp laboratory IPMSM. The control algorithm is written in C++, compiled and then down loaded to the DSP board. The agreement between the simulation and test results confirms the effectiveness of the proposed controller for the vector control of the IPMSM.

Original language	English
Title of host publication	IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology
Subtitle of host publication	"Productivity Reincarnation Through Robotics and Automation"
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	119-124
Number of pages	6
ISBN (Electronic)	0780376579
DOIs	https://doi.org/10.1109/ICIT.2002.1189874
State	Published - 2002

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	1

Bibliographical note

Publisher Copyright:
© 2002 IEEE.

ASJC Scopus subject areas

Computer Science Applications
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ICIT.2002.1189874

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Rahman, M. A., Hoque, M. A., Butt, C. B., Uddin, M. N., & Abido, M. A. (2002). Testing of genetic -PI based controller for IPMSM drive. In IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation" (pp. 119-124). Article 1189874 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2002.1189874

Rahman, M. A. ; Hoque, M. A. ; Butt, C. B. et al. / Testing of genetic -PI based controller for IPMSM drive. IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation". Institute of Electrical and Electronics Engineers Inc., 2002. pp. 119-124 (Proceedings of the IEEE International Conference on Industrial Technology).

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title = "Testing of genetic -PI based controller for IPMSM drive",

abstract = "This paper presents a laboratory testing of genetic algorithm (CA) based self-tuned PI controller for the speed control of interior permanent magnet synchronous motor (IPMSM). A radial basis artificial neural network function is used for on-line tuning of the PI controller. GA has been used in this work in order to obtain the optimized values of the PI constants for precise speed control. An performance index has been developed using GA, whose minimum value ensures zero steady-state error, minimum speed deviation and minimum settling time of the IPMSM drive. The initial values of the radial basis function network (RBFN) are obtained through off-line learning. Training data for off-line learning are generated by simulating the IPMSM drive under various operating conditions and uncertainties. For on-line implementation, the PI constants are tuned by updating the parameters of the RBFN maintaining the genetic performance index at its minimum value. In real time implementation, the proposed controller has been realized using a digital signal processor (DSP) board DS1102 for a 1hp laboratory IPMSM. The control algorithm is written in C++, compiled and then down loaded to the DSP board. The agreement between the simulation and test results confirms the effectiveness of the proposed controller for the vector control of the IPMSM.",

author = "Rahman, {M. A.} and Hoque, {M. A.} and Butt, {C. B.} and Uddin, {M. Nasir} and Abido, {M. A.}",

note = "Publisher Copyright: {\textcopyright} 2002 IEEE.",

year = "2002",

doi = "10.1109/ICIT.2002.1189874",

language = "English",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

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Rahman, MA, Hoque, MA, Butt, CB, Uddin, MN & Abido, MA 2002, Testing of genetic -PI based controller for IPMSM drive. in IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation"., 1189874, Proceedings of the IEEE International Conference on Industrial Technology, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 119-124. https://doi.org/10.1109/ICIT.2002.1189874

Testing of genetic -PI based controller for IPMSM drive. / Rahman, M. A.; Hoque, M. A.; Butt, C. B. et al.
IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation". Institute of Electrical and Electronics Engineers Inc., 2002. p. 119-124 1189874 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - This paper presents a laboratory testing of genetic algorithm (CA) based self-tuned PI controller for the speed control of interior permanent magnet synchronous motor (IPMSM). A radial basis artificial neural network function is used for on-line tuning of the PI controller. GA has been used in this work in order to obtain the optimized values of the PI constants for precise speed control. An performance index has been developed using GA, whose minimum value ensures zero steady-state error, minimum speed deviation and minimum settling time of the IPMSM drive. The initial values of the radial basis function network (RBFN) are obtained through off-line learning. Training data for off-line learning are generated by simulating the IPMSM drive under various operating conditions and uncertainties. For on-line implementation, the PI constants are tuned by updating the parameters of the RBFN maintaining the genetic performance index at its minimum value. In real time implementation, the proposed controller has been realized using a digital signal processor (DSP) board DS1102 for a 1hp laboratory IPMSM. The control algorithm is written in C++, compiled and then down loaded to the DSP board. The agreement between the simulation and test results confirms the effectiveness of the proposed controller for the vector control of the IPMSM.

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Rahman MA, Hoque MA, Butt CB, Uddin MN, Abido MA. Testing of genetic -PI based controller for IPMSM drive. In IEEE ICIT 2002 - 2002 IEEE International Conference on Industrial Technology: "Productivity Reincarnation Through Robotics and Automation". Institute of Electrical and Electronics Engineers Inc. 2002. p. 119-124. 1189874. (Proceedings of the IEEE International Conference on Industrial Technology). doi: 10.1109/ICIT.2002.1189874

Testing of genetic -PI based controller for IPMSM drive

Abstract

Publication series

Bibliographical note

ASJC Scopus subject areas

UN SDGs

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