Decoupling multivariable GPC with reference observation and feed-forward compensation method Case Study: Neonate incubator
In this paper, we focused on a design of an algorithm for decoupling multivariable systems based on generalized predictive control (DGPC). Two techniques are developed and compared for decoupling of TITO (Two-Input, Two-Output) processes. The first method is based on adding compensators between the upper and lower control paths. According to the second method, we use an adaptive error weighting factor in cost function in order to reduce coupling between control loops. Both different decoupling methods are applied and compared to the multivariable control of incubator system.
Keywords: Incubator Process, Decoupling Predictive Control, Optimal decoupling, Tuning error weighting factor.
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ABOUT THE AUTHORS
M.A Zermani
A. Mami
E. Feki
M.A Zermani
A. Mami
E. Feki
