Predictive control of higher order systems approximated by lower order time-delay models

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. One of the possible approaches to control of time-delay processes is application of model-based predictive control (MPC) methods. The further contribution is design of an algorithm for predictive control of high-order processes which are approximated by second-order model of the process with time-delay. The controller was tested and verified by control of several simulation models and a model of a laboratory heat exchanger.