Using the Indirect Vector Control Method for Induction Motor Speed on Network Based Controller

<p><em><span>The research outlines a thorough explanation along with implementation details of intelligent controllers for speed control systems of induction motors which use the indirect vector control method. A complete mathematical description and MATLAB simulation of the field orientation control (FOC) induction motor is provided for studying a 70 HP (42KW) cage type induction motor. This document evaluates the performance output of three control systems through PI fuzzy and neural networks evaluation.</span></em></p> <p><em><span>The current method eliminates the requirement of speed and flux sensors because their installation increases expense and affects mechanical system reliability. A highly beneficial approach to achieve high-performance speed control exists through neural network-based controllers. There are three elements that comprise the system: the neural network controller and reference modal and weight adjustment methods for neural network weights permitting speed observation. The stator current functions independently from torque-producers and flux-generators in drives that use indirect vector-control of induction motors.</span></em></p>