Drive system loss minimizing trajectories using constrained non-linear optimization
F. Blank, T. Röser, and J. Roth-Stielow. 2015 IEEE 11th International Conference on Power Electronics and Drive Systems, page 986-991. (June 2015)
Abstract
In various industry applications position controlled electrical drive systems fulfill rest-to-rest motions. The control systems reference position is given by trajectories. As the trajectories have an influence on the energy losses of the components, an optimized trajectory leads to a loss minimization of the system. Therefore, by using the loss models of the mechanical components, the electrical motor and power electronics developed before, a new trajectory is calculated. It is implemented with a constrained non-linear optimization algorithm. The approach is applied for a linear drive system under various conditions and the results are validated in measurements. It is shown that this minimizes the total losses of the system which can save around 5 % of energy, compared to other trajectories.
%0 Conference Paper
%1 7203394
%A Blank, F.
%A Röser, T.
%A Roth-Stielow, J.
%B 2015 IEEE 11th International Conference on Power Electronics and Drive Systems
%D 2015
%K blank ilea peds roth-stielow
%P 986-991
%T Drive system loss minimizing trajectories using constrained non-linear optimization
%U https://doi.org/10.1109/PEDS.2015.7203394
%X In various industry applications position controlled electrical drive systems fulfill rest-to-rest motions. The control systems reference position is given by trajectories. As the trajectories have an influence on the energy losses of the components, an optimized trajectory leads to a loss minimization of the system. Therefore, by using the loss models of the mechanical components, the electrical motor and power electronics developed before, a new trajectory is calculated. It is implemented with a constrained non-linear optimization algorithm. The approach is applied for a linear drive system under various conditions and the results are validated in measurements. It is shown that this minimizes the total losses of the system which can save around 5 % of energy, compared to other trajectories.
@inproceedings{7203394,
abstract = {In various industry applications position controlled electrical drive systems fulfill rest-to-rest motions. The control systems reference position is given by trajectories. As the trajectories have an influence on the energy losses of the components, an optimized trajectory leads to a loss minimization of the system. Therefore, by using the loss models of the mechanical components, the electrical motor and power electronics developed before, a new trajectory is calculated. It is implemented with a constrained non-linear optimization algorithm. The approach is applied for a linear drive system under various conditions and the results are validated in measurements. It is shown that this minimizes the total losses of the system which can save around 5 % of energy, compared to other trajectories.},
added-at = {2018-07-20T08:51:35.000+0200},
author = {Blank, F. and Röser, T. and Roth-Stielow, J.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/214b6528cfa2e08df690392ca13127b85/ilea},
booktitle = {2015 IEEE 11th International Conference on Power Electronics and Drive Systems},
interhash = {ec4ae3483e69f8565a1ee7ecbfd7da3a},
intrahash = {14b6528cfa2e08df690392ca13127b85},
issn = {2164-5256},
keywords = {blank ilea peds roth-stielow},
month = {June},
pages = {986-991},
timestamp = {2022-07-26T09:39:22.000+0200},
title = {Drive system loss minimizing trajectories using constrained non-linear optimization},
url = {https://doi.org/10.1109/PEDS.2015.7203394},
year = 2015
}
