Simplified fuzzy logic controller based indirect vector control of an induction motor drive

Modern motor controllers are based on the concept of machine intelligence (MI). This work employs a technique called field-oriented control of induction motor (IM) to achieve high performance of the drive controlled by the MI-based motor controller.; This thesis presents development and implementation of an integral field oriented intelligent control of an induction motor drive using fuzzy logic controller. An analytical model of an induction motor drive has been developed. Extensive simulations were carried out at rated speed, lower than rated speed and over the rated speed. An induction motor slip gain tuning scheme is coupled with the developed simplified fuzzy logic controller to achieve high performance and reduce computational burden as well as complexity. Simulations and experimental data also assess the realisation of proposed combined controller. Conventional proportional-integral-derivative (PID) based controllers are used to compare and to confirm better performances and dynamic characteristics of the induction motor (IM) controlled by the developed controller.; A digital signal processing (DSP) board DS1102 and laboratory induction motor were used to successfully implement the complete vector control scheme. The test results agree with simulated results for different dynamic operating conditions. The efficacy of the proposed fuzzy logic based control scheme has been successfully established. (Abstract shortened by UMI.)...