Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive

Ming Fa Tsai; Ying-Yu Tzou

doi:10.1109/IECON.1995.483834

Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive

Ming Fa Tsai^*, Ying-Yu Tzou

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

This paper presents the design and implementation of a real-time identification system using parallel processing technique for the adaptive control of a dc motor drive. A second-order estimation model with load torque term for a dc motor drive is derived. The variable-oriented parallelization scheme of a regularized recursive least-squares algorithm with constant trace has been proposed for the on-line system identification. A multi-transputer-based real-time control and identification system architecture has been constructed to implement the proposed identification scheme. Performance measure results are presented to show the efficiency.

Original language	English
Pages	818-823
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.1995.483834
State	Published - 1 Dec 1995
Event	Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) - Orlando, FL, USA Duration: 6 Nov 1995 → 10 Nov 1995

Conference

Conference	Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2)
City	Orlando, FL, USA
Period	6/11/95 → 10/11/95

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10.1109/IECON.1995.483834

Cite this

Tsai, M. F., & Tzou, Y.-Y. (1995). Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive. 818-823. Paper presented at Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2), Orlando, FL, USA. https://doi.org/10.1109/IECON.1995.483834

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title = "Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive",

abstract = "This paper presents the design and implementation of a real-time identification system using parallel processing technique for the adaptive control of a dc motor drive. A second-order estimation model with load torque term for a dc motor drive is derived. The variable-oriented parallelization scheme of a regularized recursive least-squares algorithm with constant trace has been proposed for the on-line system identification. A multi-transputer-based real-time control and identification system architecture has been constructed to implement the proposed identification scheme. Performance measure results are presented to show the efficiency.",

author = "Tsai, {Ming Fa} and Ying-Yu Tzou",

year = "1995",

month = dec,

day = "1",

doi = "10.1109/IECON.1995.483834",

language = "English",

pages = "818--823",

note = "Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) ; Conference date: 06-11-1995 Through 10-11-1995",

}

Tsai, MF & Tzou, Y-Y 1995, 'Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive', Paper presented at Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2), Orlando, FL, USA, 6/11/95 - 10/11/95 pp. 818-823. https://doi.org/10.1109/IECON.1995.483834

Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive. / Tsai, Ming Fa; Tzou, Ying-Yu.
1995. 818-823 Paper presented at Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2), Orlando, FL, USA.

Research output: Contribution to conference › Paper › peer-review

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AU - Tsai, Ming Fa

AU - Tzou, Ying-Yu

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N2 - This paper presents the design and implementation of a real-time identification system using parallel processing technique for the adaptive control of a dc motor drive. A second-order estimation model with load torque term for a dc motor drive is derived. The variable-oriented parallelization scheme of a regularized recursive least-squares algorithm with constant trace has been proposed for the on-line system identification. A multi-transputer-based real-time control and identification system architecture has been constructed to implement the proposed identification scheme. Performance measure results are presented to show the efficiency.

AB - This paper presents the design and implementation of a real-time identification system using parallel processing technique for the adaptive control of a dc motor drive. A second-order estimation model with load torque term for a dc motor drive is derived. The variable-oriented parallelization scheme of a regularized recursive least-squares algorithm with constant trace has been proposed for the on-line system identification. A multi-transputer-based real-time control and identification system architecture has been constructed to implement the proposed identification scheme. Performance measure results are presented to show the efficiency.

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T2 - Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2)

Y2 - 6 November 1995 through 10 November 1995

ER -

Design and implementation of a real-time identification system using parallel processing technique for adaptive control of a DC motor drive

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