The APC Teaching Modules walk students through the configuration procedure in a step by step manner. They will use first principle equations (mass, energy, and momentum) to generate working models. The modules illustrate the advantage of MPC over PID controllers by showing that model predictive control is suitable for process with difficult dynamics, tightly constrained systems, and strongly interacting multi-variable systems. Throughout the teaching modules you will see how process outputs respond to changes in process inputs by exploring relationships by experimenting with changing set points for input and output variables. The performance of model predictive control is evaluated in the face of a strongly interacting multi-input multi output (MIMO) system as well.
Aspen Process Controller Builder, Aspen State-Space Controller