Maneuvering tracking algorithm for reentry vehicles with guaranteed prescribed performance
Zongyi Guo, Xiyu Gu, Yonglin Han, Jianguo Guo, Thomas Berger

TL;DR
This paper introduces an adaptive prescribed performance tracking control method for reentry vehicles, ensuring stability and constraint adherence during rapid maneuvers with no need for system parameter knowledge.
Contribution
It proposes a novel adaptive performance funnel and recursive control structure that guarantees prescribed tracking performance without system parameter information.
Findings
Effective in simulations for rapid maneuvering reentry vehicles.
Maintains tracking error within prescribed bounds.
Handles disturbances and sudden trajectory changes.
Abstract
This paper presents a prescribed performance-based tracking control strategy for the atmospheric reentry flight of space vehicles subject to rapid maneuvers during flight mission. A time-triggered non-monotonic performance funnel is proposed with the aim of constraints violation avoidance in the case of sudden changes of the reference trajectory. Compared with traditional prescribed performance control methods, the novel funnel boundary is adaptive with respect to the reference path and is capable of achieving stability under disturbances. A recursive control structure is introduced which does not require any knowledge of specific system parameters. By a stability analysis we show that the tracking error evolves within the prescribed error margin under a condition which represents a trade-off between the reference signal and the performance funnel. The effectiveness of the proposed…
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Taxonomy
TopicsAdaptive Control of Nonlinear Systems · Advanced Control Systems Optimization · Spacecraft Dynamics and Control
