Identification and digital control of higher-order processes using predictive strategy

Abstract

In technical practice often occur higher order processes when a design of an optimal controller leads to complicated control algorithms. One of possibilities of control of such processes is their approximation by lower-order model with time-delay (dead time). The contribution is focused on a choice of a suitable experimental identification method and a suitable excitation input signals for an estimation of process model parameters with time-delay. The further contribution is design of an algorithm for digital control of high-order processes which are approximated by second-order model of the process with time-delay. The designed control algorithms are based on a predictive control strategy. The controller's algorithm uses the digital modification of the Smith Predictor (SP). The program system MATLAB/SIMULINK was used for simulation verification of these algorithms.