A strategy is proposed for the control of constant-distillate-composition operations of batch
distillation columns. The proposed control law is derived in the framework of Nonlinear Internal
Model Control. The distillate composition is estimated from selected tray temperature
measurements by an observer. The same observer provides the estimate of the system states
that are necessary for the computation of the control algorithm. Results are provided for binary
and multicomponent separations of ideal and nonideal systems. Several sources of process/model mismatch are considered in order to provide a realistic test scenario for the proposed
procedure. It is shown that the proposed controller ensures fast and smooth transition from
the startup phase to the production phase, and tight composition control until the end of the
operation. Moreover, the tuning of the controller is performed very easily. Finally, the on-line
computation of the control law is straightforward, which is a promising result toward practical
implementation of the proposed method.