J. González , R. Aguilar , J. Alvarez-Ramı́rez , G. Fernández , M. Barrón
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Linearizing control of a binary distillation column based on a neuro-estimator
In this work, the LV-control problem in binary distillation columns is addressed. With least prior knowledge, a linear reference model with unknown terms is obtained. The time variations of the unknown terms are estimated using two on-line trained perceptrons. These estimates are subsequently used to design a feedback linearizing-like controller. The closed-loop behavior is analyzed through numerical examples. The resulting controller shows robustness against external disturbances and set-point changes.
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