Incremental Generalized Policy Iteration for Adaptive Attitude Tracking Control of a Spacecraft

Incremental Generalized Policy Iteration for Adaptive Attitude Tracking Control of a Spacecraft

Li, Y. (TU Delft Control & Simulation)
van Kampen, E. (TU Delft Control & Simulation)

2023

This paper proposes a novel dynamic programming algorithm for nonlinear system optimal control problem, namely Incremental Generalized Policy Iteration (IGPI). The proposed IGPI algorithm combines the advantages of Incremental Control(IC) and Generalized Policy Iteration(GPI). Incremental control can handle the nonlinearity and uncertainty in nonlinear systems without knowing the nonlinear system information, GPI can learn an optimal control law for dynamical systems. Based on the proposed IGPI algorithm, a data-driven adaptive attitude controller is designed for a spacecraft with sloshing liquid fuel. Simulation results demonstrate the effectiveness of the spacecraft attitude controller.

http://resolver.tudelft.nl/uuid:30dcc85e-34d0-4fac-8d31-b2ebf2abb332

https://doi.org/10.23919/ECC57647.2023.10178221

Institute of Electrical and Electronics Engineers (IEEE)

2024-01-01

9783907144084

2023 European Control Conference, ECC 2023

2023 European Control Conference, ECC 2023, 2023-06-13 → 2023-06-16, Bucharest, Romania

2023 European Control Conference, ECC 2023

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2023 Y. Li, E. van Kampen