Obtención de las ecuaciones de sintonización de un controlador dinámico por modos deslizantes (DSMC) para sistemas con respuesta inversa aproximables a un modelo de segundo orden, utilizando técnicas de computación inteligente

Abstract

The objective of this degree project is to obtain through by the use of intelligent computing techniques, the tuning equations of dynamic control by sliding modes (DSMC). Controller being a combination of Linoya compensator and controller by conventional sliding modes help us to have the control of systems with reverse response, that present as main characteristic the inverse peak at the start of the system. Intelligent computing techniques used to complete the objective of these degree project are: algorithm of particle swarm optimization, this algorithm help us to obtain the optimal tuning parameters of controller with this data a database will be generated and applicated the second technique of intelligent computing that is genetic programming, this will help us to find the relation between data characteristics of the second approximation method and tuning parameters that will define the tuning equations for this controller. To make the validation of the equations of tuning has as a case study the reactor CSTR with the reaction of Van the Vusse, presenting an inverse response in the output of concentration of the system is validation will be based a indices performance ISE and TVU.