Semi-batch reactor predictive control using MATLAB fmincon function compared to SOMA algorithm

Abstract

In this paper the usability of the self-organizing migrating algorithm (SOMA) in a nonlinear system predictive control area is studied. Two approaches to model predictive control applied on a nonlinear system are compared here. Firstly, the SOMA was used to minimize the objective function, secondly, the fmicon function included in the MATLAB optimization toolbox was used for the same. The comparison itself was made from four points of view. Firstly, the value of the in-reactor temperature overshoot and the related quality of the in-reactor temperature course were observed. Secondly, the time of processing which is important for effectiveness of a real plant and also the course of the actuating signal that is important from the practical point of view were monitored. The input data used here to simulate the process were obtained from the real chemical exothermic process. © 2018, World Scientific and Engineering Academy and Society. All rights reserved.