Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs
Karamanakos, Petros; Geyer, Tobias; Kennel, Ralph (2015-12-16)
Karamanakos, Petros
Geyer, Tobias
Kennel, Ralph
16.12.2015
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202004083147
https://urn.fi/URN:NBN:fi:tuni-202004083147
Kuvaus
Peer reviewed
Tiivistelmä
The model predictive control problem of linear systems with integer inputs results in an integer optimization problem. In case of a quadratic objective function, the optimization problem can be cast as an integer least-squares (ILS) problem. Three algorithms to solve this problem are proposed in this paper. Optimality can be traded in to reduce the computation time. An industrial case study-an inverter-driven electrical drive system-is considered to demonstrate the effectiveness of the presented techniques.
Kokoelmat
- TUNICRIS-julkaisut [16908]