Data-driven prescribed performance control for satellite with large rotational component. Issue 1 (1st January 2023)

• Record Type: Journal Article
• Authors: Liu, Ziran; Yue, Chengfei; Wu, Fan; Wang, Feng; Cao, Xibin
• Is Part Of: Advances in space research. Volume 71:Issue 1(2023)
• Page Start: 744
• Page End: 755
• Publication Date: 2023-01-01
• Subjects: Prescribed performance -- Model-free adaptive control -- Rotational components -- Static and dynamic unbalance; Space sciences -- Periodicals; Astronautics -- Periodicals; Geophysics -- Periodicals; 500.505
• DOI: 10.1016/j.asr.2022.09.006
• Languages: English
• ISSNs: 0273-1177

Abstract

Abstract: In this paper, the high precision attitude control for satellite with large misaligned rotational component is investigated, proposing a novel model-free prescribed performance adaptive control (MF-PPAC) method. Based on the model-free adaptive control (MFAC) strategy, high-precision attitude control is achieved depending on the system measurement rather than the spacecraft mathematical model, which demonstrates the superiority in handling nonlinearity and uncertainty of the spacecraft system, especially for those with unbalance of the rotational component. Furthermore, the transient and the stable-state behavior of the tracking error using MFAC is constrained in the prescribed performance bounds and converges to zero gradually with the utilization of prescribed performance function (PPF) and error transformation method. Finally, the convergence and boundedness of the system error, the bounded-input bounded-output (BIBO) stability of the proposed MF-PPAC is demonstrated by the contraction mapping theory. Simulation and comparison with disturbance-observer-based PD control and MFAC illustrate the effectiveness of the proposed method.