Published Paper Details:

This paper presents the vector control of induction motor by using artificial intelligence. In scalar control or V/f control of induction motor, flux is maintained constant by keeping voltage to frequency ratio constant. This control method gives the wide range of speed control with full load torque capability even at lower speed. This cause high energy savings but it is disadvantageous when the transient response is consider. Speed transition or change in loading there is change in the flux which is responsible for poor transient response. The change in flux is recovered in sluggish manner. This lead to over current, over heating during transient period which necessitates a drive to be oversize and no longer cost effective. The causes of deviation of the flux from the reference value is inherent coupling between flux and torque. They can be decoupled and controlled independently to obtain high transient response. This method of decoupling and controlling the flux and torque component is known as the vector control method. For precise control used artificial intelligence(fuzzy logic control). The theoretical basis of each algorithm is explained in detail and its performance is tested with simulations implemented in MATLAB/SIMULINK and performance of induction motor control verified with MATLAB simulation result at dynamic load condition.