Solving dynamic optimization problems to a specified accuracy: an alternating approach using integrated residuals
File(s)NieKerriganTAC.pdf (790.95 KB)
Accepted version
Author(s)
Nie, Yuanbo
Kerrigan, Eric
Type
Journal Article
Abstract
We propose a novel direct transcription and solution method for solving nonlinear, continuous-time dynamic optimization problems. Instead of forcing the dynamic constraints to be satisfied only at a selected number of points as in direct collocation, the new approach alternates between minimizing and constraining the squared norm of the dynamic constraint residuals integrated along the whole solution trajectories. As a result, the method can 1) obtain solutions of higher accuracy for the same mesh compared to direct collocation methods, 2) enables a flexible trade-off between solution accuracy and optimality, 3) provides reliable solutions for challenging problems, including those with singular arcs and high-index differential algebraic equations.
Date Issued
2023-01-01
Date Acceptance
2022-01-06
Citation
IEEE Transactions on Automatic Control, 2023, 68 (1), pp.548-555
ISSN
0018-9286
Publisher
Institute of Electrical and Electronics Engineers
Start Page
548
End Page
555
Journal / Book Title
IEEE Transactions on Automatic Control
Volume
68
Issue
1
Copyright Statement
© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/9684961
Publication Status
Published
Date Publish Online
2022-01-19