Optimal guidance of a dynamic process requires a fast algorithm for the computation of optimal trajectories. The method described in this paper modifies the conventional ``direct approach'' with control parametrisation. Piecewise linearisation of the dynamic system accelerates the solution of initial value problems and facilitates the computation of gradients. A control transformation involving a simple feedback term allows to provide starting values automatically and increases the robustness of the method. The real-time capability is demonstrated at an aircraft which is to intercept a moving target in minimum time.
Description
Real-Time Optimisation for the Guidance of Dynamic Systems | SpringerLink
%0 Book Section
%1 Paus1996
%A Paus, M.
%A Grimm, W.
%A Well, K. H.
%B Progress in Industrial Mathematics at ECMI 94
%C Wiesbaden
%D 1996
%E Neunzert, Helmut
%I Vieweg+Teubner Verlag
%K ifr
%P 32--39
%R 10.1007/978-3-322-82967-2_5
%T Real-Time Optimisation for the Guidance of Dynamic Systems
%U https://doi.org/10.1007/978-3-322-82967-2_5
%X Optimal guidance of a dynamic process requires a fast algorithm for the computation of optimal trajectories. The method described in this paper modifies the conventional ``direct approach'' with control parametrisation. Piecewise linearisation of the dynamic system accelerates the solution of initial value problems and facilitates the computation of gradients. A control transformation involving a simple feedback term allows to provide starting values automatically and increases the robustness of the method. The real-time capability is demonstrated at an aircraft which is to intercept a moving target in minimum time.
%@ 978-3-322-82967-2
@inbook{Paus1996,
abstract = {Optimal guidance of a dynamic process requires a fast algorithm for the computation of optimal trajectories. The method described in this paper modifies the conventional ``direct approach'' with control parametrisation. Piecewise linearisation of the dynamic system accelerates the solution of initial value problems and facilitates the computation of gradients. A control transformation involving a simple feedback term allows to provide starting values automatically and increases the robustness of the method. The real-time capability is demonstrated at an aircraft which is to intercept a moving target in minimum time.},
added-at = {2021-02-13T16:14:17.000+0100},
address = {Wiesbaden},
author = {Paus, M. and Grimm, W. and Well, K. H.},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2954b96e7a6be44557a342e4bea2ddfd4/janolucak},
booktitle = {Progress in Industrial Mathematics at ECMI 94},
description = {Real-Time Optimisation for the Guidance of Dynamic Systems | SpringerLink},
doi = {10.1007/978-3-322-82967-2_5},
editor = {Neunzert, Helmut},
interhash = {97ffc547cbee99864e8ce91b4d9d833b},
intrahash = {954b96e7a6be44557a342e4bea2ddfd4},
isbn = {978-3-322-82967-2},
keywords = {ifr},
pages = {32--39},
publisher = {Vieweg+Teubner Verlag},
timestamp = {2021-02-13T15:14:17.000+0100},
title = {Real-Time Optimisation for the Guidance of Dynamic Systems},
url = {https://doi.org/10.1007/978-3-322-82967-2_5},
year = 1996
}