SERGIO CUEVAS DEL VALLE; PABLO SOLANO-LÓPEZ; HODEI URRUTXUA

DOI Number: 10.13009/EUCASS2023-057

This work develops a new cost-efficient solver to formulate fuel-optimal control problems: in particu­lar, Alternating Direction Method of Multipliers and Model Predictive Control are used to close the gap between L1 and L2 optimization in classical astrodynamics problems. The combination of these two algo­rithms allows to render general NLP fuel-optimal problems solvable by Linear Programming techniques independently of the fuel-consumption proxy used. Moreover, their low footprint makes them a solid can­didate for real-time, embedded applications. These novel techniques are applied to several rendezvous and orbital transfer test cases in both the Keplerian and the Circular Restricted Three-Body Problems, together with impulsive attitude slews.

Read the full paper here

In Categories: 1. Aerospace Europe Conference 2023, 1.Events, 5. Flight Dynamics/GNC and Avionics
Email
Print
LinkedIn
The paper above was part of  proceedings of a CEAS event and as such the author has signed a publication agreement to have their paper published in the repository. In the case this paper is found somewhere else CEAS always links to the other source.  CEAS takes great care in making the correct content available to the reader. If any mistakes are found  in the listings please contact us directly at papers@aerospacerepository.org and we will correct the listing promptly.  CEAS cannot be held liable either for mistakes in editorial or technical aspects, nor for omissions, nor for the correctness of the content. In particular, CEAS does not guarantee completeness or correctness of information contained in external websites which can be accessed via links from CEAS’s websites. Despite accurate research on the content of such linked external websites, CEAS cannot be held liable for their content. Only the content providers of such external sites are liable for their content. Should you notice any mistake in technical or editorial aspects of the CEAS site, please do not hesitate to inform us.