Robust Fuel Optimal Trajectory Planning and Feedback Control for Constrained Linear Systems Under State- and Control-Dependent Perturbations

We consider the problem of simultaneous open-loop trajectory design and feedback gain co-design to develop an algorithm for robustly-constrained trajectory optimization for linear time-varying systems with state-and control-dependent perturbations. This extends our previous work sheridan2022equivalent, 10383510 to handle optimization of feedback gains to minimize the effect of external perturbations. This could have applications in e.g. vehicle design, by allowing trajectory optimization techniques to be fed back into the vehicle design phase, informing guidance, navigation, and control system requirements. We also present a numerical simulation demonstrating the practicality of our methods.

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Publication Details

Journal
IEEE Control Systems Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lcsys.2025.3558533
Citations
1
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
1.21
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article

Robust Fuel Optimal Trajectory Planning and Feedback Control for Constrained Linear Systems Under State- and Control-Dependent Perturbations

Behçet Açıkmeşe, Oliver Sheridan
1 citations
IEEE Control Systems Letters
Advanced Control Systems Optimization
1.21
article

Robust Fuel Optimal Trajectory Planning and Feedback Control for Constrained Linear Systems Under State- and Control-Dependent Perturbations

Behçet Açıkmeşe, Oliver Sheridan
article en
1 citations

Abstract

We consider the problem of simultaneous open-loop trajectory design and feedback gain co-design to develop an algorithm for robustly-constrained trajectory optimization for linear time-varying systems with state-and control-dependent perturbations. This extends our previous work sheridan2022equivalent, 10383510 to handle optimization of feedback gains to minimize the effect of external perturbations. This could have applications in e.g. vehicle design, by allowing trajectory optimization techniques to be fed back into the vehicle design phase, informing guidance, navigation, and control system requirements. We also present a numerical simulation demonstrating the practicality of our methods.

IEEE Control Systems LettersVol. 9
University of Washington (US), American Institute of Aeronautics and Astronautics (US)
Climate action
Openalex Percentile: Top 23%
Advanced Control Systems Optimization
1.21
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