Desensitized Optimal Guidance Using Adaptive Radau Collocation

Katrina L. Winkler; Anil V. Rao

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arXiv · 2408.04146

Desensitized Optimal Guidance Using Adaptive Radau Collocation

Katrina L. Winkler·Anil V. Rao

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Abstract

An optimal guidance method is developed that reduces sensitivity to parameters in the dynamic model. The method combines a previously developed method for guidance and control using adaptive Legendre-Gauss-Radau (LGR) collocation and a previously developed approach for desensitized optimal control. Guidance updates are performed such that the desensitized optimal control problem is re-solved on the remaining horizon at the start of each guidance cycle. The effectiveness of the method is demonstrated on a simple example using Monte Carlo simulation. It is found that the method reduces variations in the terminal state as compared to either desensitized optimal control without guidance updates or a previously developed method for optimal guidance and control.

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BibTeX RIS

Katrina L. Winkler, Anil V. Rao. 2024-08-08. Desensitized Optimal Guidance Using Adaptive Radau Collocation. https://arxiv.org/abs/2408.04146

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