Data-driven integral parameterized predictive control with disturbance compensation for space combination attitude takeover after capture

IF 2.6 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

European Journal of Control Pub Date : 2026-05-01 Epub Date: 2026-02-02 DOI:10.1016/j.ejcon.2026.101468

Bicheng Cai , Peiji Wang , Chengfei Yue , Yunhai Geng , Yong Zhao

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Abstract

This paper proposes an online Data-driven Integral Parameterized Predictive Control with Disturbance Compensation (DIP²C-DC) method to stabilize the attitude takeover system of a space combination after non-cooperative target capture. The combination is affected by systematic disturbances, and its dynamics parameters are unknown. The proposed DIP²C-DC consists of a Unified System Identification (USI) method and an Integral Parameterized Predictive Control (IP²C) method. The USI extends the Least Squares (LS) identification framework using Koopman operators, to address the challenges posed by the nonlinear nature of the attitude system and its exposure to systematic disturbances. The IP²C parameterizes the control input increment and calculates the control input by solving a Quadratic Programming (QP) problem, to reduce the degree of control input chattering caused by identification errors. The estimated disturbance is also considered in the cost function, providing the disturbance rejection ability. Simulations validate the effectiveness of DIP²C-DC.

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捕获后空间组合姿态接管的数据驱动积分参数化扰动补偿预测控制

针对非合作目标捕获后空间组合姿态捕获系统的稳定性问题，提出了一种在线数据驱动的扰动补偿积分参数化预测控制（DIP2C-DC）方法。该组合受系统扰动的影响，其动力学参数是未知的。提出的DIP2C-DC由统一系统识别（USI）方法和积分参数化预测控制（IP2C）方法组成。USI使用Koopman算子扩展了最小二乘（LS）识别框架，以解决姿态系统的非线性特性及其暴露于系统干扰所带来的挑战。IP2C对控制输入增量进行参数化，并通过求解二次规划（Quadratic Programming， QP）问题计算控制输入，以减小由于辨识误差引起的控制输入抖振程度。在成本函数中也考虑了估计的干扰，提供了抗干扰能力。仿真验证了DIP2C-DC的有效性。

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来源期刊

European Journal of Control 工程技术-自动化与控制系统

CiteScore

5.80

自引率

5.90%

发文量

131

审稿时长

1 months

期刊介绍： The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field. The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering. The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications. Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results. The design and implementation of a successful control system requires the use of a range of techniques: Modelling Robustness Analysis Identification Optimization Control Law Design Numerical analysis Fault Detection, and so on.