Active current sensor fault-tolerant control of induction motor drive with online neural network-based rotor and stator resistance estimation
More details
Hide details
Wroclaw University of Science and Technology
Corresponding author
Michał Adamczyk   

Wroclaw University of Science and Technology
Power Electronics and Drives 2023;8(Special Section - Advanced Control Methods of Electrical Machines and Drives )
This article presents an active current sensor (CS) fault-tolerant control (FTC) strategy for induction motor drive with adaptation of rotor and stator resistances. The stator current estimator with on-line adaptation of resistance parameters was applied for reconstruction of missing current signals. A model reference adaptive system (MRAS), based on a neural network (NN), was used to estimate the rotor resistance. Additionally, stator resistance estimation based on ratio index was applied. The use of such a solution allowed for a significant increase in the quality of stator current reconstruction, which is particularly important for the design of CS fault detection and compensation algorithms. A wide range of simulation studies has been carried out for different operating conditions of the induction motor (IM) drive. The results showed that applying rotor and stator resistance estimation can improve the quality of stator current estimation by up to approximately 95% under rated operating point. The study was conducted for nominal and low speed, with two, one and without healthy CS.
Journals System - logo
Scroll to top