Title :
A multiple model adaptive control strategy for DMC
Author :
Dougherty, Danielle ; Arbogast, Jeffrey ; Cooper, Douglas J.
Author_Institution :
Dept. of Chem. Eng., Connecticut Univ., Storrs, CT, USA
Abstract :
This paper details and demonstrates a multiple model adaptive strategy for dynamic matrix control (DMC). The novelty of the strategy lies in several subtle but important details. One contribution is that the method combines the output of multiple linear DMC controllers, each with their own step response model describing process dynamics at a specific level of operation. The final output forwarded to the controller is an interpolation of the individual controller outputs weighted based on the current value of the measured process variable. Another contribution is that the approach does not introduce additional computational complexity, but rather, relies on traditional DMC design methods. This makes the work immediately accessible to industrial practitioners. Finally, the importance and value of previously published tuning rules are established in their role of facilitating adaptive DMC. The application and effectiveness of the adaptive DMC strategy is demonstrated a multiple loop simulation.
Keywords :
adaptive control; linear systems; multivariable control systems; predictive control; step response; DMC controllers; adaptive control; computational complexity; dynamic matrix control; linear systems; model predictive control; multivariable control systems; process dynamics; step response model; Adaptive control; Chemical engineering; Chemical processes; Computational complexity; Design methodology; Interpolation; Least squares approximation; Predictive models; Programmable control; Weight control;
Conference_Titel :
American Control Conference, 2003. Proceedings of the 2003
Print_ISBN :
0-7803-7896-2
DOI :
10.1109/ACC.2003.1243451