Sistema de control difuso adaptable para un motor de inducción jaula de ardilla (Adaptive Fuzzy Control System for a Squirrel Cage Induction Motor)

Luis Antonio Mier Quiroga (luis.mier@tesjo.edu.mx)1, Jorge Samuel Benítez Read (jorge.benitez@inin.gob.mx)2, Régulo López Callejas (luis.mier@tesjo.edu.mx)2, José Armando Segovia de los Ríos (luis.mier@tesjo.edu.mx)2, Rosendo Peña Eguiluz (luanmiq@yahoo.com.mx)3, Francisco Javier Jiménez Ramírez (luanmiq@yahoo.com.mx)3


1Instituto Tecnológico de Toluca - Tecnológico de Estudios Superiores de Jocotitlán
2Instituto Tecnológico de Toluca - Instituto Nacional de Investigaciones Nucleares
3Instituto Nacional de Investigaciones Nucleares

This paper appears in: Revista IEEE América Latina

Publication Date: May 2017
Volume: 15,   Issue: 5 
ISSN: 1548-0992


Abstract:
A fuzzy adaptive method is designed and implemented in order to improve the response of a scalar fuzzy control system for the speed of an induction motor. The adaptive method determines the set of output membership functions used in the difuzzification process of a typical fuzzy rule based control system. The universe, domain and distribution of the controller's output membership functions are defined at the beginning of every control cycle, thus having a dynamic generation of the set of output membership functions. In this paper, this method is applied to an induction motor in order to control its speed. The experimental results are compared to those obtained with a non-adaptive fuzzy controller, showing an improvement in torque, stator currents and voltages as well as some dynamic parameters such as steady state ripple.

Index Terms:
adaptive control, scalar control: fuzzy control, induction motor, variable speed drives   


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