How should rate constraints be implemented in nonlinear optimal control solvers?
File(s)ifacconfAVRC.pdf (598.24 KB)
Accepted version
Author(s)
Nie, Y
Kerrigan, EC
Type
Conference Paper
Abstract
This paper investigates the problem of implementing rate constraints when solving
nonlinear optimal control problems with direct transcription methods. We generalize the
approach of directly implementing rate constraints on the discretization mesh to all types
of collocation methods (
h
,
p
and
hp
), for both state and input variables. This “on mesh”
implementation replaces the additional dynamic equations and nonlinear path constraints in
classical implementations with linear equations. Thus, there is no contribution to the Hessian
and the contribution to the Jacobian can be precomputed, enabling faster iterations. Through
an example, the benefits of the proposed approach are demonstrated, both in terms of obtaining
singular arc-free solutions, as well as reductions in computation time of more than 20%.
nonlinear optimal control problems with direct transcription methods. We generalize the
approach of directly implementing rate constraints on the discretization mesh to all types
of collocation methods (
h
,
p
and
hp
), for both state and input variables. This “on mesh”
implementation replaces the additional dynamic equations and nonlinear path constraints in
classical implementations with linear equations. Thus, there is no contribution to the Hessian
and the contribution to the Jacobian can be precomputed, enabling faster iterations. Through
an example, the benefits of the proposed approach are demonstrated, both in terms of obtaining
singular arc-free solutions, as well as reductions in computation time of more than 20%.
Date Issued
2018-11-22
Date Acceptance
2018-06-08
Citation
IFAC-PapersOnLine, 2018, 51 (20), pp.362-367
ISSN
2405-8963
Publisher
IFAC Secretariat
Start Page
362
End Page
367
Journal / Book Title
IFAC-PapersOnLine
Volume
51
Issue
20
Copyright Statement
© 2018 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.sciencedirect.com/science/article/pii/S2405896318327186
Source
6th IFAC Conference on Nonlinear Model Predictive Control
Publication Status
Published
Start Date
2018-08-19
Finish Date
2018-08-22
Coverage Spatial
Madison, Wisconsin (USA)
Date Publish Online
2018-11-22