scholarly journals Non-invasive method for rotor bar fault diagnosis in three-phase squirrel cage induction motor with advanced signal processing technique

2019 ◽  
Vol 2019 (17) ◽  
pp. 4415-4419 ◽  
Author(s):  
Madhusudhana Reddy Barusu ◽  
Umamaheswari Sethurajan ◽  
Meganathan Deivasigamani
Keyword(s):  
Signal Processing ◽  
Fault Diagnosis ◽  
Processing Technique ◽  
Signal Processing Technique ◽  
Non Invasive ◽  
Squirrel Cage ◽  
Squirrel Cage Induction Motor ◽  
Three Phase ◽  
Invasive Method ◽  
Cage Induction Motor

scholarly journals Improvement the DTC system for electric vehicles induction motors

2010 ◽  
Vol 7 (2) ◽  
pp. 149-165 ◽  
Author(s):  
Ali Arif ◽  
Achour Betka ◽  
Abderezak Guettaf
Keyword(s):  
Electric Vehicles ◽  
Fuzzy Logic Controller ◽  
Operating Conditions ◽  
The Novel ◽  
Control Methods ◽  
Squirrel Cage ◽  
Squirrel Cage Induction Motor ◽  
Three Phase ◽  
Cage Induction Motor ◽  
Current Ripples

A three-phase squirrel-cage induction motor is used as a propulsion system of an electric vehicle (EV). Two different control methods have been designed. The first is based on the conventional DTC Scheme adapted for three level inverter. The second is based on the application of fuzzy logic controller to the DTC scheme. The motor is controlled at different operating conditions using a FLC based DTC technique. In the simulation the novel proposed technique reduces the torque and current ripples. The EV dynamics are taken into account.

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