scholarly journals INDIRECT FIELD-ORIENTED CONTROL OF FIVE-PHASE INDUCTION MOTOR DRIVES

2011 ◽  
Vol 34 (2) ◽  
pp. 119-123
Author(s):  
Z. M. S. Elbarbary ◽  
S. A. Mahmoud
Author(s):  
Hasif Aziri ◽  
Fizatul Aini Patakor ◽  
Marizan Sulaiman ◽  
Zulhisyam Salleh

<span>This paper presents the comparative performances of Indirect Field Oriented Control (IFOC) for the three-phase induction motor. Recently, the interest of widely used the induction motor at industries because of reliability, ruggedness and almost free in maintenance. Thus, the IFOC scheme is employed to control the speed of induction motor. Therefore, P and PI controllers based on IFOC approach are analyzed at differences speed commands with no load condition. On the other hand, the PI controller is tuned based on Ziegler-Nichols method by using PSIM software which is user-friendly for simulations, design and analysis of motor drive, control loop and the power converter in power electronics studies. Subsequently, the simulated of P controller results are compared with the simulated of PI controller results at difference speed commands with no load condition. Finally, the simulated results of speed controllers are compared with the experimental results in order to explore the performances of speed responses by using IFOC scheme for three-phase induction motor drives.</span>


2013 ◽  
Vol 13 (4) ◽  
pp. 656-668 ◽  
Author(s):  
J.L. Febin Daya ◽  
V. Subbiah ◽  
Iqbal Atif ◽  
Padmanaban Sanjeevikumar

2013 ◽  
Vol 344 ◽  
pp. 194-198
Author(s):  
Dong Dong Wang ◽  
Yi Min Lu ◽  
Xian Feng Huang

A period-doubling bifurcation may occur when the estimation error of the rotor time constant exists in an indirect field-oriented control (IFOC) of induction motor drives. Then chaos oscillations appear under some parameter values which are usually tested by the Largest Lyapunov exponents. In this paper, we apply the modified 0-1 method to detect chaos phenomenon instead, and design a controller to suppress chaos in the IFOC system. Simulation results indicate that the proper parameter region of the controller can be obtained with this method, and with the adaptive controller the system can quit from the chaotic state into the stable state effectively and robustly. The 0-1 method identifies chaotic behaviors directly through the time series without constructing phase space. Therefore, the proposed method is not affected by the complexity of the system and is not sensitive to noises.


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