@ARTICLE{ iet:/content/conferences/10.1049/cp_20080507, author = {S.M. Gadoue}, affiliation = {Sch. of EECE, Newcastle Univ., Newcastle upon Tyne}, author = {D. Giaouris}, affiliation = {Sch. of EECE, Newcastle Univ., Newcastle upon Tyne}, author = {J.W. Finch}, affiliation = {Sch. of EECE, Newcastle Univ., Newcastle upon Tyne}, keywords = {model reference adaptive speed estimation schemes;closed loop sensorless modes;fuzzy logic based adaptation mechanism;sensorless vector control;induction motor drives;}, language = {English}, abstract = {This paper proposes a novel adaptation mechanism to replace the classical PI controller used in model reference adaptive speed estimation schemes which are based on rotor flux. The proposed adaptation mechanism is based on a fuzzy logic strategy. A detailed experimental comparison between the new and conventional schemes is carried out in both open and closed loop sensorless modes of operation when a vector control drive is working at very low speed. Superior performance has been obtained using the new fuzzy logic adaptation mechanism in both modes of operations.}, title = {A new fuzzy logic based adaptation mechanism for MRAS sensorless vector control induction motor drives}, journal = {IET Conference Proceedings}, year = {2008}, month = {January}, pages = {179-183(4)}, publisher ={Institution of Engineering and Technology}, url = {https://digital-library.theiet.org/;jsessionid=alc3mspnbl9hr.x-iet-live-01content/conferences/10.1049/cp_20080507} }