Power Losses and Magnetic Flux Analysis of Vector Controlled Induction Motor with Stator Turn-to-Turn Fault

Author(s):  
Hassan H. Eldeeb ◽  
Haisen Zhao ◽  
Osama A. Mohammed
2016 ◽  
Vol 856 ◽  
pp. 374-379
Author(s):  
Alexandros Alexandrou ◽  
Antonios G. Kladas

The paper introduces a magnetic flux control algorithm for the minimization of losses in Induction Motor (IM) drives. The proposed methodology accounts for search time delays and IM model deficiencies and has been applied to minimize power losses. The controller is validated on an IM prototype and offers improved transient response.


Author(s):  
Israel Zamudio-Ramirez ◽  
Roque A Alfredo Osornio-Rios ◽  
Jose Alfonso Antonino-Daviu ◽  
Hubert Razik ◽  
Rene de Jesus Romero-Troncoso

2012 ◽  
Vol 83 (12) ◽  
pp. 667-671 ◽  
Author(s):  
A. S. Kosmodamianskii ◽  
V. I. Vorob’ev ◽  
A. A. Pugachev

2014 ◽  
Vol 695 ◽  
pp. 774-777
Author(s):  
Siti Nur Umira Zakaria ◽  
Erwan Sulaiman

This paper presents magnetic flux analysis of E-Core Hybrid Excited FSM with various rotor pole topologies. The stator consists of three active fluxes sources namely armature coil, field excitation coil and permanent magnet, while the rotor consists of only stack of iron which is greatly reliable for high speed operation. Initially, coil arrangement tests are examined to validate the operating principle of the motor and to identify the zero rotor position. Then, performances of 6S-4P, 6S-5P, 6S-7P and 6S-8P E-Core HEFSMs such as flux path, flux linkage, cogging torque and flux distribution are observed. As conclusion, 6S-5P and 6S-7P designs have purely sinusoidal flux waveform and less cogging torque suitable for high torque and power motor.


Author(s):  
Alex Borisevich

<p>The paper devoted to energy efficiency maximizing problem of the induction motor under part-load conditions. The problem is formulated as the minimization of ohmic losses power as a function from flux-producing current in field-oriented motor operation. Control input precompensation which transforms the dynamic time-varying optimization problem to stationary one is introduced. Adjustment rule for control variable is proposed which speeds-up the method convergence in comparison with linear variation of input. Finally a new continuous-time search algorithm for solving the problem of minimizing power consumption was given. The statements on method behavior were formulated and convergence to local minimum was proved. The method verified in simulation and in hardware experimental setup.</p>


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