Reliability-Constrained Uncertain Spacecraft Sliding Mode Attitude Tracking Control With Interval Parameters

IF 5.7 2区 计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-01-16 DOI:10.1109/TAES.2025.3529798
Chen Yang;Yinde Liu;Han Gao
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Abstract

This study proposes a time-varying reliability-constrained uncertain sliding mode control to improve spacecraft attitude tracking under incomplete information, with uncertainties modeled as interval parameters. The need for sliding mode control in spacecraft attitude tracking is introduced, and a nominal controller with stability proof is developed. To overcome the challenge of large sample requirements in aerospace applications, an interval uncertainty analysis method is incorporated into the design of attitude prediction and tracking systems. An interval cooperative iterative prediction method, inspired by orthogonal polynomials, is introduced to estimate attitude angles accurately. The nominal controller is then converted into an interval-based sliding mode controller with trajectory bounds. To assess the dynamic safety of spacecraft, interval-based time-varying reliability is applied, accounting for constant or varying critical values of control system safety. An optimization problem based on the proposed method is solved using a multiobjective algorithm. A numerical example demonstrates the effectiveness of the approach, compared to Monte Carlo simulations.
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具有区间参数的可靠性约束不确定航天器滑模姿态跟踪控制
针对不完全信息下航天器姿态跟踪问题,提出了一种时变可靠性约束不确定滑模控制方法,将不确定性建模为区间参数。介绍了航天器姿态跟踪中滑模控制的必要性,提出了一种具有稳定性证明的标称控制器。为克服航天应用中对大样本要求的挑战,将区间不确定性分析方法引入到姿态预测与跟踪系统的设计中。提出了一种基于正交多项式的区间协同迭代预测方法,以准确估计姿态角。然后将标称控制器转换为具有轨迹边界的基于区间的滑模控制器。为了评估航天器的动态安全性,采用基于区间的时变可靠性,考虑控制系统的安全临界值恒定或变化。利用多目标算法求解了基于该方法的优化问题。通过与蒙特卡罗模拟的比较,验证了该方法的有效性。
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来源期刊
CiteScore
7.80
自引率
13.60%
发文量
433
审稿时长
8.7 months
期刊介绍: IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.
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