TY - JOUR
N2 - Current drive control systems tend to push control loops to the limits of their performance. One of the ways of doing so is to use advanced optimization algorithms, usually related to model-based off-line calculations, such as genetic algorithms, the particle swarmoptimisation or the others. There is, however, a simpler way, namely to use predictive control formalism and by formulation of a simple linear programming problem which is easy to solve using powerful solvers, without excessive computational burden, what is a reliable solution, as whenever the optimization problem has a feasible solution, a global minimizer can be efficiently found. This approach has been deployed for a servo drive system operated by a real-time sampled-data controller, verified between model-in-the-loop and hardwarein- the-loop configurations, for a range of prediction horizons, as an attractive alternative to classical quadratic programming-related formulation of predictive control task.
L1 - http://so.czasopisma.pan.pl/Content/129537/PDF-MASTER/art09_int.pdf
L2 - http://so.czasopisma.pan.pl/Content/129537
PY - 2023
IS - No 4
EP - 1016
DO - 10.24425/aee.2023.147423
KW - constraints
KW - linear programming
KW - optimal control
KW - servo drive
A1 - Horla, Dariusz
A1 - Pinczewski, Piotr
PB - Polish Academy of Sciences
VL - vol. 72
DA - 2023.12.07
T1 - Deployment of a predictive-like optimal control law on a servo drive system using linear programming approach
SP - 1005
UR - http://so.czasopisma.pan.pl/dlibra/publication/edition/129537
T2 - Archives of Electrical Engineering
ER -