Control de múltiple objetivo del motor de inducción empleando asignación de estructuras propias y algoritmos genéticos

Abstract

A linear controller is calculated by the use of a multiobjective optimization technique, and is applied over the induction machine; which is modeled in the oriented coordinate rotor flux system. The performance indexes chosen are sensitivity of state variables, closed loop gain and the mixed sensitivity. The method used is the eigenstructure assignment; in which, the objective is to determine the controller through pole placement using eigenvalues and eigenvectors; the optimization is realized by the genetic algorithms. The tests applied over the system imply the controller design in combination with the robust problem and genetic algorithms, and two cases are taken into account; one objective and multiobjective. The computational results and comparisons show that the multiobjective optimization increases the performance of the system against the one objective optimization and the H∞ controller.