Knowledge-based control of a binary distillation column

Implementing a process model using fuzzy methods has proved successful when considering the steady state determined models based controller algorithm of Davison, and has given a much improved performance when compared to a design based on average process gains only. With the addition of dynamic response and process dead time compensation inherent in the self organising process at the highest level it is then possible to provide a direct and straightforward approach to tuning and adaptation of model based control algorithms