Title :
Predictive Control using Constrained Optimal Control
Author :
Little, David L. ; Edgar, Thomas F.
Author_Institution :
Shell Oil Company, Houston, Texas
Abstract :
An algorithm is proposed to solve the linear-quadratic control problem with linear inequality constraints. This algorithm provides an alternative to the use of quadratic programming for predictive control; it is computationally efficient and computes a feedback control when the optimal control does not lie on a constraint. The performance of the algorithm for an evaporator model is presented along with comparisons to model algorithmic control.
Keywords :
Feedback control; Industrial control; Optimal control; Petroleum; Prediction algorithms; Predictive control; Predictive models; Quadratic programming; Riccati equations; Vectors;
Conference_Titel :
American Control Conference, 1986
Conference_Location :
Seattle, WA, USA