Name
Abstract | ||
|---|---|---|
This paper presents the design and realization of a linear Model Predictive Controller (MPC) and state estimator for a multi-zone heat pump in the Modelica modeling language, in order to validate closed-loop performance prior to experimental testing. The vapor compression system uses a variable speed compressor and a set of expansion valves for control, and it is required to regulate zone temperatures to set-points without offset. Constraints are imposed on all control inputs and also the values of both measured and unmeasured system outputs. Because experimental testing is both expensive and time-consuming, we have developed a tool chain for software-in-the-loop validation that uses a Modelica model for the plant, integrated with a software representation of the MPC that is realized in a combination of Modelica and C that is suitable for real-time use. We show the results of closed-loop tests of the controller with a nonlinear system model, which provide a partial validation of the controller and tool chain. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.23919/ECC.2019.8795616 | 2019 18TH EUROPEAN CONTROL CONFERENCE (ECC) |
Field | DocType | Citations |
Control theory,Nonlinear system,Heat pump,Control theory,Computer science,Modeling language,Gas compressor,Software,Modelica,Offset (computer science) | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pablo Krupa | 1 | 3 | 2.77 |
| Claus Danielson | 2 | 0 | 0.34 |
| Christopher R. Laughman | 3 | 0 | 0.34 |
| Scott A. Bortoff | 4 | 1 | 2.41 |
| Daniel J. Burns | 5 | 9 | 2.82 |
| Stefano Di Cairano | 6 | 309 | 44.69 |
| Daniel Limón | 7 | 0 | 0.68 |