Work

Adaptive Appointed‐Time Model Predictive Control for Spacecraft Attitude Tracking With Prescribed Performance

Year: 2025

Type: article

Abstract: ABSTRACT The spacecraft attitude tracking problem with prescribed performance in the presence of environmental disturbance, model uncertainty, actuator faults, and saturation presents a significant challenge. Under these tough conditions, this paper proposes an adaptive model predictive control (MPC) with a novel appointed‐time performance function (APF) constraint to achieve high‐performance attitude tracking trajectories with appointed‐time convergence. Firstly, within the proposed MPC framework, an optimal attitude trajectory is obtained, respecting the performance boundary and actuator limitations. Next, by introducing a contraction constraint via prescribed performance auxiliary sliding mode control (SMC), the recursive feasibility and closed‐loop stability of MPC are rigorously demonstrated. Additionally, the function‐adaptive law is employed to estimate and compensate the total disturbances. Finally, simulations are conducted to demonstrate the effectiveness and validity of the proposed adaptive appointed‐time prescribed performance MPC algorithm.

Source: International Journal of Robust and Nonlinear Control

DOI: 10.1002/rnc.70288

Authors: Jiatong Wang, Yuan Li, Xiaolong Zheng, Xuebo Yang

Institutions: Harbin Institute of Technology, National University of Defense Technology

Language: English

Topic: Spacecraft Dynamics and Control

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: bronze

Funders: National Natural Science Foundation of China, Natural Science Foundation of Heilongjiang Province, Fundamental Research Funds for the Central Universities

Awards: G321714490, G8198713467