Nonlinear Controller for Trajectory Tracking of a Continuous Stirred Tank Reactor

Abstract

This work presents a linear algebra based methodology for trajectory tracking of output variables in a Continuous Stirred Tank Reactor (CSTR), which exhibits a highly nonlinear dynamics. Its main advantage is that the condition for the tracking error tends to zero and the calculation of control actions are obtained by solving a system of linear equations. The Monte Carlo Randomized Method is used for tuning the controller parameters and testing the system behavior under modeling errors. The controller performance is evaluated through several tests and compared with other controller reported in the literature. In addition, proofs of convergence to zero of the tracking error are presented.