Comparative analysis of PI and Fuzzy based speed controllers for Indirect Field-oriented Control of Induction Motor Drives

This paper presents a technique of intelligent indirect field-oriented control (IFOC) of the induction motor(IM) drives for the superior transient performance. Traditionally, IFOC of IM drives is reported using linear PI-Controllers. These Conventional PI-IFOC methods suffer limitations due to saturation phenomenon and non-linearities in the IM’s. To overcome these drawbacks, a Fuzzy logic based IFOC for IM drive is proposed in this paper. A closed-loop speed control technique making use of Conventional PI/Fuzzy based controllers is used for the investigation in this project. The IM has been convoluted in IFOC by splitting the current produced by the stator into flux (i
d
) and torque (i
q
) producing components (d-q components). The torque producing component of the current (i
qs
∗) for an IM is regulated using a Fuzzy based intelligent controller. The speed and torque responses of Conventional PI and Fuzzy Logic based Controller are observed and are compared for performance assessment. Simulations are carried out employing MATLAB/Simulink and essential results are presented in order to demonstrate the superior dynamic performance of proposed Fuzzy-IFOC compared to conventional PI-IFOC controller.