Conference paper
A Tuning Approach for Oset-free MPC with Conditional Reference Adaptation
Johannes Kepler University Linz1
Center for Energy Resources Engineering, Centers, Technical University of Denmark2
Department of Applied Mathematics and Computer Science, Technical University of Denmark3
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark4
Department of Chemical and Biochemical Engineering, Technical University of Denmark5
CAPEC-PROCESS, Department of Chemical and Biochemical Engineering, Technical University of Denmark6
Model predictive control has become a widely accepted strategy in industrial applications in the recent years. Often mentioned reasons for the success are the optimization based on a system model, consideration of constraints and an intuitive tuning process. However, as soon as unknown disturbances or model plant mismatch have to be taken into account the tuning eort to achieve oset-free tracking increases.
In this work a novel approach for oset-free MPC is presented, which divides the tuning in two steps, the setup of a nominal MPC loop and an external reference adaptation. The inner nominal loop addresses the performance targets in the nominal case, decouples the system and essentially leads to a rst order response.
The second outer loop enables oset-free tracking in case of unknown disturbances and consists of feedback controllers adapting the reference. Due to the mentioned properties these controllers can be tuned separate and by known guidelines. To address conditions with active input constraints, additionally a conditional reference adaptation scheme is introduced.
The tuning strategy is evaluated on a simulated linear Wood-Berry binary distillation column example.
Language: | English |
---|---|
Publisher: | International Federation of Automatic Control |
Year: | 2014 |
Pages: | 3062-3067 |
Proceedings: | 19th World Congress of the International Federation of Automatic Control (IFAC 2014) |
ISBN: | 3902823623 and 9783902823625 |
Types: | Conference paper |
ORCIDs: | Jørgensen, John Bagterp and Huusom, Jakob Kjøbsted |