Supervisory fuzzy adaptive control of a binary distillation column

Distillation column is widely used in the chemical industry for separation and has been studied extensively for improvements in composition control by using multivariable control strategies. The availability of process computers with higher processing power at a lower price has led to greater interests in the application of advanced control techniques. Almost all of the advanced control techniques rely on an accurate model of the process to be controlled. If an accurate process model is not available, then satisfactory control cannot be achieved. Here we present a new fuzzy adaptive technique to adapt the feedforward model and decoupling model in a binary distillation column in order to reject the feedflow disturbances affecting the distillate composition