Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives
 
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1
Institute of Electrical and Electronic Engineering, University of M’hamed BOUGARA of Boumerdes, Boumerdes, Algeria
 
2
LGEB Laboratory, Electrical Engineering Department, Biskra University, Algeria
 
3
Barika University Center, Batna, Algeria
 
4
M’sila University, M’sila, Algeria
 
5
Faculty of Applied Science, Univ. Artois, EA 4025 LSEE F-62400, Béthune, France
 
These authors had equal contribution to this work
 
 
Corresponding author
Abdelkarim Ammar   

university of boumerdes, Algeria
 
 
Power Electronics and Drives 2024;9(Special Section - Modern Control Methods of Electrical Drives ):374-396
 
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ABSTRACT
This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. The suggested sensorless technique employs the sliding mode’s second-order approach using a model reference adaptive system (MRAS). The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). In addition, the conjunction with the MRAS as a separated speed estimator can raise the accuracy and make the observer immune to speed fluctuations, particularly for low-speed applications. Furthermore, in order to achieve effective decoupled flux–torque control, the super-twisting algorithm (STA) was combined with a non-linear feedback linearisation controller for the inner control loop construction. This strategy can boost the control system’s stability and robustness against external disturbances and modelling uncertainty. The performance analysis of the suggested methods has been carried out via simulation and experimental validation utilizing MATLAB/Simulink with the dSpace 1104 real-time interface.
eISSN:2543-4292
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