Adaptive Control of Stator Currents for Self-Commissioning of Induction Motor Drives

This paper develops and experimentally substantiates a new algorithm to identify unknown parameters of induction motors during self-commissioning procedure. To guarantee asymptotic identification, we design an adaptive stator current controller using a stator flux observer. Allowed current reference...

Повний опис

Збережено в:
Бібліографічні деталі
Дата:2013
Автори: Peresada, S., Kovbasa, S., Prystupa, D., Lyshevski, S.E.
Формат: Стаття
Мова:English
Опубліковано: Інститут електродинаміки НАН України 2013
Назва видання:Технічна електродинаміка
Теми:
Онлайн доступ:http://dspace.nbuv.gov.ua/handle/123456789/100646
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Назва журналу:Digital Library of Periodicals of National Academy of Sciences of Ukraine
Цитувати:Adaptive Control of Stator Currents for Self-Commissioning of Induction Motor Drives / S. Peresada, S. Kovbasa, D. Prystupa, S.E. Lyshevski // Технічна електродинаміка. — 2013. — № 5. — С. 24-31. — Бібліогр.: 17 назв. — pос.

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Digital Library of Periodicals of National Academy of Sciences of Ukraine
Опис
Резюме:This paper develops and experimentally substantiates a new algorithm to identify unknown parameters of induction motors during self-commissioning procedure. To guarantee asymptotic identification, we design an adaptive stator current controller using a stator flux observer. Allowed current references guarantee global exponential identification of three induction motor parameters as well as estimation of stator fluxes in both motionless and rotating motor operations. Overestimation of the stator fluxes is introduced to achieve global stability of parameters identification and flux estimation. An asymptotic stator current tracking is also ensured. Our experiments demonstrate that the proposed schemes guarantee identification and estimation accuracy with fast asymptotic convergence of errors to zero. The proposed procedure compliments the existing practical control schemes, and, consistent with vector controls including sensorless algorithms.