Abstract
A nonlinear extended Kalman filter, which infers the compositions of the streams leaving a binary distillation column from temperature measurements, is developed. The accuracy of the distillation column model on which the estimator is based, is discussed in connection with the reliability of the obtained estimates. The estimator performance is checked by comparison with the dynamic behavior of a distillation pilot plant, where the separation of a binary mixture of ethanol and water takes place.
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