Computers & Chemical Engineering, Vol.20, No.S, 1517-1520, 1996
A Nonlinear Model-Based Horizon Algorithm for Use in Event-Driven Supervisory Control
A discrete, non-linear model-based controller has been developed for steady regulation and smooth, constrainable response to a set-point change. These characteristics make it ideal for eventual use in an event-driven supervisory control scheme. At each execution, the process specific equations predict both the ultimate value of the manipulated variable, and the deviation (overshoot) required to drive the process to set-point along the desired trajectory. Since process fundamentals relate the manipulated and controlled variables (intrinsic gain), the controller is "tuned" by specifying the time to complete a set-point change (or to eliminate a disturbance), and the constraints on the manipulated variable (high, low, and rate-of-change). Since all moves are referenced to the predicted steady-state value, the controller will not wind-up.