Name
Abstract | ||
|---|---|---|
We formulate a model predictive control (MPC) for linear time-invariant systems based on H-infinity loop-shaping. The design results in a closed-loop system that includes a state estimator and attains an optimized stability margin. Input and output weights are designed in the frequency domain to satisfy steady-state and transient performance requirements, in lieu of standard MPC plant model augmentations. The H-infinity loop-shaping synthesis results in an observer-based state feedback structure. An inverse optimal control problem is solved to construct the MPC cost function, so that the control input computed by MPC is equal to the H-infinity control input when the constraints are inactive. The MPC inherits the closed-loop performance and stability margin of the loop-shaped design when constraints are inactive. We apply the methodology to a multizone heat pump, and validate the results in simulations and laboratory experiments. The design rejects constant unmeasured disturbances, tracks constant references with zero steady-state error, meets transient performance requirements, provides an excellent stability margin, and enforces input and output constraints. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCST.2022.3141937 | IEEE Transactions on Control Systems Technology |
Keywords | DocType | Volume |
Cooling,heating,predictive control,robust control | Journal | 30 |
Issue | ISSN | Citations |
5 | 1063-6536 | 0 |
PageRank | References | Authors |
0.34 | 13 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Scott A. Bortoff | 1 | 95 | 17.82 |
| Paul Schwerdtner | 2 | 0 | 0.34 |
| Claus Danielson | 3 | 18 | 7.15 |
| Stefano Di Cairano | 4 | 309 | 44.69 |
| Daniel J. Burns | 5 | 9 | 2.82 |