Evaluation of Start-Up Performance of Induction Motor Speed Sensorless Vector Control Using Adaptive Flux Observer Considering Inverter Voltage Error

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門（英文）

発行日: 2023/05/01

タイトル(英語): Evaluation of Start-Up Performance of Induction Motor Speed Sensorless Vector Control Using Adaptive Flux Observer Considering Inverter Voltage Error

著者名: Erina Izumi (Waseda University), Masaki Nagataki (Waseda University), Keiichiro Kondo (Waseda University), Shunsuke Tobayashi (Toshiba Mitsubishi-Electric Industrial Systems Corporation), Hiromitsu Suzuki (Toshiba Mitsubishi-Electric Industrial Systems Co

著者名(英語): Erina Izumi (Waseda University), Masaki Nagataki (Waseda University), Keiichiro Kondo (Waseda University), Shunsuke Tobayashi (Toshiba Mitsubishi-Electric Industrial Systems Corporation), Hiromitsu Suzuki (Toshiba Mitsubishi-Electric Industrial Systems Corporation)

キーワード: speed-sensorless control，vector control，induction motor (IM)，MRAS，dead-time，adaptive flux observer

要約(英語): Speed sensorless vector control for induction motors using an adaptive flux observer makes it difficult to output high and stable torque at a standstill condition when the output voltage error mainly due to dead-time of the inverter. This voltage error leads to a speed estimation error. Consequently, axis misalignment occurs, and a torque value that tracks the reference command value cannot be output. A method has been proposed to compensate for this voltage error by using a current command value; however, the compensation accuracy is limited because of the forward voltage drop and nonlinear characteristics of power switching devices. This study applies the conventional dead-time compensation to the model reference adaptive system, and the effect of varying the amount of compensation, instead of investigating the true dead-time length, on the start-up is evaluated using a 2.2kW experimental system and through dynamic analysis.

本誌: IEEJ Journal of Industry Applications Vol.12 No.3 （2023） Special Issue on “IPEC-Himeji 2022”

本誌掲載ページ: 524-533 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejjia/12/3/12_22008105/_article/-char/ja/