Open AccessReal time implementation of adaptive sliding mode observer based speed sensor less vector control of induction motor
Author(s) -
Karim Negadi,
Abdellah Mansouri,
Belkheir Khtemi
Publication year - 2010
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee1002167n
Subject(s) - induction motor , vector control , control theory (sociology) , estimator , robustness (evolution) , observer (physics) , control engineering , electronic speed control , engineering , computer science , control (management) , artificial intelligence , mathematics , voltage , biochemistry , statistics , chemistry , physics , quantum mechanics , electrical engineering , gene
Sensor less induction motor drives are widely used in industry for their reliability and flexibility. However, rotor flux and speed sensors are required for vector control of induction motor. These sensors are sources of trouble, mainly in hostile environments, and their application reduces the drive robustness. The cost of the sensors is not also negligible. All the reasons lead to development of different sensor less methods for rotor flux and mechanical speed estimation in electrical drives. The paper deals with the speed estimators for applications in sensor less induction motor drive with vector control, which are based on application of model adaptive, based sliding mode observer methods. This paper presents the development and DSP implementation of the speed estimators for applications in sensor less drives with induction motor