New Intelligent Controller for Induction Motor Speed Control

This paper presents the design and simulation of high-performance brain emotional learning and fuzzy-based intelligent controller (BELFBIC) for three-phase induction motors V/f speed control. BELFBIC is an improved version of a brain emotional learning-based intelligent controller (BELBIC) controller. V/f control is simple and relatively easy to implement. It provides motor performance, which is adequate in most applications. For the first time, BELFBIC is used for space vector pulse width modulation inverter-fed induction motor V/f speed control. A comparative analysis with a proportional-integral-derivative (PID) controller and BELBIC are also carried out. The simulation is conducted with MATLAB/Simulink. The proposed controller is implemented in hardware, and its performance is shown to be better than either PID or BELBIC.


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  • Accession Number: 01611163
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 2 2016 11:12AM