In the present work a novel inferential control strategy cascaded with a nonlinear profile position controller is employed to control the top and bottom product compositions of a simulated depropanizer column. The inferential model for estimating product compositions is developed using the wave propagation model, and the composition profile position of both rectifying and stripping section is calculated using one temperature measurement from the respective section of the column. It is found that the estimation of the end product compositions using proposed technique may lead to an offset. The accuracy of the proposed inferential model can be further improved by providing an intermittent feedback of composition measurement in the form of an integral action. The wave propagation model of the depropanizer column is used in the Generic Model Control (GMC) architecture to design the profile position controllers.