Resumen

FANDINO, Luis; SARMIENTO, Saturno  y  ROSALES, Luis. Working range extension for nonlinear plants using fuzzy control algorithms based on TSK-LMI model. uct [online]. 2016, vol.20, n.81, pp.136-147. ISSN 1316-4821.

This paper proposes the design of a Takagi-Sugeno-Kang Control Fuzzy algorithm based on Linear Matrix Inequalities and convex optimization techniques, therefore extending to a wide working range around the equilibrium point for the Non-linear system. This means to stabilize the system and signal tracking the reference, in a chose working range, regarding the actual limitation of the system. The control algorithm consists in a fuzzy compensator (gain matrix and estimator) with a Type 1 signal tracking system for plants without integrator, for instance a Magnetic Levitator System, using an extended fuzzy scheme. So the schematic control is designed to guarantee the stability and desire performance for the closed loop system. This algorithm has been implemented and evaluated using Matlab and Simulink, also using Yalmip Toolbox for Matlab.

Palabras clave : Linear matrix inequations; Takagi-Sugeno-Kang fuzzy control; working range; stability.