Abstract
This paper is focused on a design of an algorithm for decoupling multivariable systems based on generalized predictive control (DGPC) and its application to a control of an incubator system. Proposed control algorithm uses adaptive error weighting factor in cost function in order to reduce coupling between control loops. Two techniques are presented and compared for predictive control of TITO (Two-Input, Two-Output) processes. According to the first technique the weighting factor is tuned in synchronization to a reference signal change. According to the second method, the weighting factor is set dependent on the actual control error. The algorithm is applied to incubator climate control; obtained simulation results show its efficiency.
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