Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique

Kyeong Hwa Kim; Se Kyo Chung; Gun Woo Moon; In Cheol Baik; Myung Joong Youn

Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique

Kyeong Hwa Kim
, Se Kyo Chung
, Gun Woo Moon
, In Cheol Baik
, Myung Joong Youn

Dept. of Electrical and Information Engineering

Korea Advanced Institute of Science and Technology

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

62 Scopus citations

Abstract

A robust current control technique of a permanent magnet synchronous motor with an adaptive parameter estimation is proposed. The adaptive parameter estimation is achieved by a model reference adaptive technique where the stator resistance and the magnitude of flux linkage can be estimated simultaneously. The adaptive laws are derived by the Popov's hyperstability theory and the positivity concept. The robustness of the proposed current control scheme is compared with that of the conventional scheme through the computer simulation. This adaptive parameter estimation scheme can be applied to the drive systems without a shaft sensor.

Original language	English
Pages	387-392
Number of pages	6
State	Published - 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

UN SDGs

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

SDG 7 Affordable and Clean Energy

Cite this

Kim, K. H., Chung, S. K., Moon, G. W., Baik, I. C., & Youn, M. J. (1995). Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique. 387-392. Paper presented at Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2), Orlando, FL, USA.

@conference{636fc1cbb7274312a44c5694e7cf3554,

title = "Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique",

abstract = "A robust current control technique of a permanent magnet synchronous motor with an adaptive parameter estimation is proposed. The adaptive parameter estimation is achieved by a model reference adaptive technique where the stator resistance and the magnitude of flux linkage can be estimated simultaneously. The adaptive laws are derived by the Popov's hyperstability theory and the positivity concept. The robustness of the proposed current control scheme is compared with that of the conventional scheme through the computer simulation. This adaptive parameter estimation scheme can be applied to the drive systems without a shaft sensor.",

author = "Kim, \{Kyeong Hwa\} and Chung, \{Se Kyo\} and Moon, \{Gun Woo\} and Baik, \{In Cheol\} and Youn, \{Myung Joong\}",

year = "1995",

language = "English",

pages = "387--392",

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",

}

Kim, KH, Chung, SK, Moon, GW, Baik, IC & Youn, MJ 1995, 'Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique', 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. 387-392.

Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique. / Kim, Kyeong Hwa; Chung, Se Kyo; Moon, Gun Woo et al.
1995. 387-392 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

TY - CONF

T1 - Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique

AU - Kim, Kyeong Hwa

AU - Chung, Se Kyo

AU - Moon, Gun Woo

AU - Baik, In Cheol

AU - Youn, Myung Joong

PY - 1995

Y1 - 1995

N2 - A robust current control technique of a permanent magnet synchronous motor with an adaptive parameter estimation is proposed. The adaptive parameter estimation is achieved by a model reference adaptive technique where the stator resistance and the magnitude of flux linkage can be estimated simultaneously. The adaptive laws are derived by the Popov's hyperstability theory and the positivity concept. The robustness of the proposed current control scheme is compared with that of the conventional scheme through the computer simulation. This adaptive parameter estimation scheme can be applied to the drive systems without a shaft sensor.

AB - A robust current control technique of a permanent magnet synchronous motor with an adaptive parameter estimation is proposed. The adaptive parameter estimation is achieved by a model reference adaptive technique where the stator resistance and the magnitude of flux linkage can be estimated simultaneously. The adaptive laws are derived by the Popov's hyperstability theory and the positivity concept. The robustness of the proposed current control scheme is compared with that of the conventional scheme through the computer simulation. This adaptive parameter estimation scheme can be applied to the drive systems without a shaft sensor.

UR - https://www.scopus.com/pages/publications/0029486583

M3 - Paper

AN - SCOPUS:0029486583

SP - 387

EP - 392

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 -

Parameter estimation and control for permanent magnet synchronous motor drive using model reference adaptive technique

Abstract

Conference

UN SDGs

Other files and links

Fingerprint

Cite this