Self-Optimizing Control Structures with Minimum Number of Process-Dependent Controlled Variables
- Marchetti, Alejandro Gabriel
- Zumoffen, David Alejandro Ramon
DOIAbstract
In order to operate continuous processes near the economically optimal steady-state operating point, selfoptimizing control schemes reformulate the optimization problem as a process control problem. The objective is to find controlled variables and constant set points such that the controller leads to optimal adjustments of the inputs in the presence of stable disturbances. In particular, the null space approach consists in selecting the self-optimizing controlled variables as linear combinations of the inactive output variables, based on the first-order variation of the necessary conditions of optimality. In the self-optimizing control structures proposed in the literature, the number of controlled variables required is typically equal to ...
Add to ORKG