Performance improvement of DTC for induction motor-fed by three-level inverter with an uncertainty observer using RBFN

Kyo Beum Lee; Sung Hoe Huh; Ji Yoon Yoo; Frede Blaabjerg

doi:10.1109/TEC.2005.845542

Performance improvement of DTC for induction motor-fed by three-level inverter with an uncertainty observer using RBFN

Kyo Beum Lee, Sung Hoe Huh, Ji Yoon Yoo, Frede Blaabjerg

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

35 Citations (Scopus)

Abstract

A stable sensorless controller for DTC of induction motor fed by three-level inverter using the Radial Basis Function Network (RBFN) is presented in this paper. The torque ripple can be drastically reduced and low speed performance can be obtained in the DTC system for high performance induction motor drives. However, speed control performance is still influenced by the lumped uncertainties of the system such as parameter variations, external load disturbances, and unmodeled dynamics which make it difficult to obtain an exact mathematical model. In this paper, the lumped uncertainties are estimated on-line by the RBFN. Simulations as well as experimental results are shown to illustrate the performance of the proposed system.

Original language	English
Pages (from-to)	276-283
Number of pages	8
Journal	IEEE Transactions on Energy Conversion
Volume	20
Issue number	2
DOIs	https://doi.org/10.1109/TEC.2005.845542
Publication status	Published - 2005 Jun

Keywords

AC motor drives
Direct Torque Control (DTC)
Neural network applications
Observers

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

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10.1109/TEC.2005.845542

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abstract = "A stable sensorless controller for DTC of induction motor fed by three-level inverter using the Radial Basis Function Network (RBFN) is presented in this paper. The torque ripple can be drastically reduced and low speed performance can be obtained in the DTC system for high performance induction motor drives. However, speed control performance is still influenced by the lumped uncertainties of the system such as parameter variations, external load disturbances, and unmodeled dynamics which make it difficult to obtain an exact mathematical model. In this paper, the lumped uncertainties are estimated on-line by the RBFN. Simulations as well as experimental results are shown to illustrate the performance of the proposed system.",

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AB - A stable sensorless controller for DTC of induction motor fed by three-level inverter using the Radial Basis Function Network (RBFN) is presented in this paper. The torque ripple can be drastically reduced and low speed performance can be obtained in the DTC system for high performance induction motor drives. However, speed control performance is still influenced by the lumped uncertainties of the system such as parameter variations, external load disturbances, and unmodeled dynamics which make it difficult to obtain an exact mathematical model. In this paper, the lumped uncertainties are estimated on-line by the RBFN. Simulations as well as experimental results are shown to illustrate the performance of the proposed system.

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KW - Direct Torque Control (DTC)

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KW - Observers

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Performance improvement of DTC for induction motor-fed by three-level inverter with an uncertainty observer using RBFN

Abstract

Keywords

ASJC Scopus subject areas

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