Use of genetic algorithm to Tuning a Lyapunov Adaptive Controller applied to a temperature system controlled environment

摘要

This work presents the use of a Lyapunov based adaptive controller optimized by a Genetic Algorithm applied to tuning the parameter that define a fall rating of the error between a reference value (set point) and the output of the system in a simulation environment. The system has been modeled with certain degree of uncertainty with regard of its parameters. The complete system, which include the Transfer Function of the system being utilized was simulated in Scilab software being the results of the simulations presented.