Inverter nonlinear error compensation using feedback gains and self-tuning estimated current error in adaptive full-order observer

Wei Sun; Jie Gao; Xiaofeng Liu; Yong Yu; Gaolin Wang; Dianguo Xu

doi:10.1109/TIA.2015.2480852

Inverter nonlinear error compensation using feedback gains and self-tuning estimated current error in adaptive full-order observer

Wei Sun
, Jie Gao
, Xiaofeng Liu
, Yong Yu
, Gaolin Wang
, Dianguo Xu

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

36 Scopus citations

Abstract

The performance of a speed-sensorless induction motor drive is poor at low-speed range. This is because the inverter nonlinear error, such as inaccurate motor parameters, deadtime, turn on/off delay, and on-state voltage drop of power switches, has strong influence on the speed estimation at low-speed range. In this paper, the feedback gains of an adaptive full-order observer are designed to guarantee the stability of speed estimation and to reduce the influence of the inverter nonlinear error on the speed estimation. In addition, the estimated current error caused by the inverter nonlinear error is identified offline. It is stored in the lookup table to compensate for the influence of the inverter nonlinear error on the speed estimation. The feasibility of the proposed method is verified by experiments.

Original language	English
Article number	7274333
Pages (from-to)	472-482
Number of pages	11
Journal	IEEE Transactions on Industry Applications
Volume	52
Issue number	1
DOIs	https://doi.org/10.1109/TIA.2015.2480852
State	Published - 1 Jan 2016
Externally published	Yes

Keywords

Adaptive full-order observer (AFO)
Induction motor
Inverter nonlinear compensation
Speed-sensorless drive

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10.1109/TIA.2015.2480852

Cite this

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title = "Inverter nonlinear error compensation using feedback gains and self-tuning estimated current error in adaptive full-order observer",

abstract = "The performance of a speed-sensorless induction motor drive is poor at low-speed range. This is because the inverter nonlinear error, such as inaccurate motor parameters, deadtime, turn on/off delay, and on-state voltage drop of power switches, has strong influence on the speed estimation at low-speed range. In this paper, the feedback gains of an adaptive full-order observer are designed to guarantee the stability of speed estimation and to reduce the influence of the inverter nonlinear error on the speed estimation. In addition, the estimated current error caused by the inverter nonlinear error is identified offline. It is stored in the lookup table to compensate for the influence of the inverter nonlinear error on the speed estimation. The feasibility of the proposed method is verified by experiments.",

keywords = "Adaptive full-order observer (AFO), Induction motor, Inverter nonlinear compensation, Speed-sensorless drive",

author = "Wei Sun and Jie Gao and Xiaofeng Liu and Yong Yu and Gaolin Wang and Dianguo Xu",

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AU - Sun, Wei

AU - Gao, Jie

AU - Liu, Xiaofeng

AU - Yu, Yong

AU - Wang, Gaolin

AU - Xu, Dianguo

PY - 2016/1/1

Y1 - 2016/1/1

N2 - The performance of a speed-sensorless induction motor drive is poor at low-speed range. This is because the inverter nonlinear error, such as inaccurate motor parameters, deadtime, turn on/off delay, and on-state voltage drop of power switches, has strong influence on the speed estimation at low-speed range. In this paper, the feedback gains of an adaptive full-order observer are designed to guarantee the stability of speed estimation and to reduce the influence of the inverter nonlinear error on the speed estimation. In addition, the estimated current error caused by the inverter nonlinear error is identified offline. It is stored in the lookup table to compensate for the influence of the inverter nonlinear error on the speed estimation. The feasibility of the proposed method is verified by experiments.

AB - The performance of a speed-sensorless induction motor drive is poor at low-speed range. This is because the inverter nonlinear error, such as inaccurate motor parameters, deadtime, turn on/off delay, and on-state voltage drop of power switches, has strong influence on the speed estimation at low-speed range. In this paper, the feedback gains of an adaptive full-order observer are designed to guarantee the stability of speed estimation and to reduce the influence of the inverter nonlinear error on the speed estimation. In addition, the estimated current error caused by the inverter nonlinear error is identified offline. It is stored in the lookup table to compensate for the influence of the inverter nonlinear error on the speed estimation. The feasibility of the proposed method is verified by experiments.

KW - Adaptive full-order observer (AFO)

KW - Induction motor

KW - Inverter nonlinear compensation

KW - Speed-sensorless drive

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M3 - 文章

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Inverter nonlinear error compensation using feedback gains and self-tuning estimated current error in adaptive full-order observer

Abstract

Keywords

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