A novel DAE model of the cement pyro process is linearized and simulated to select control pairings via RGA and tune decentralized PI controllers via IMC, producing smoother closed-loop responses than manual tuning.
Account for variations in the H2O to CO2 molar ratio when modelling gaseous radiative heat transfer with the weighted-sum-of-grey-gases model
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A simulation- and model-based approach to PI control pairing and tuning for the pyro process in a cement plant
A novel DAE model of the cement pyro process is linearized and simulated to select control pairings via RGA and tune decentralized PI controllers via IMC, producing smoother closed-loop responses than manual tuning.