Robustness of control time-delay processes in term of influence parametric uncertainties

This paper deals with a design of a universal and robust digital control algorithms for control of great deal processes with timedelay. Time-delays are mainly caused by the time required to transport mass, energy or information, but they can also be caused by processing time or accumulation. Typical examples of such processes are e.g. pumps, liquid storing tanks, distillation columns or some types of chemical reactors. The designed control algorithms are realized using the digital Smith Predictor (SP) based on polynomial approach – by minimization of the Linear Quadratic (LQ) criterion. For minimization of the LQ criterion is used spectral factorization principle with application of the MATLAB Polynomial Toolbox. The designed polynomial digital Smith Predictors were verified in simulation conditions. The main contribution of this paper is an experimental simulation examination of the robustness of the designed control algorithms. The robustness designed control algorithms was examined in term of influence parametric uncertainties – caused by variance of a static gain of the process model. The program system MATLAB/SIMULINK was used for these purposes. © 2015, North Atlantic University Union. All rights reserved