在一次性干扰下对非线性完全执行系统进行基于GPIO的预测控制
IEEE transactions on cybernetics
|February 10, 2026
概括
本研究介绍了一种完全执行系统 (FAS) 预测控制,使用通用比例整数观察器 (GPIO) 来管理非线性系统中的一次性干扰. 该方法确保了强大的跟踪性能和稳定性,通过航天器态度控制来证明这一点.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统动态 非线性系统动态
- 机器人和自动化 机器人和自动化
背景情况:
- 块干扰,包括模型不确定性和外部因素,在控制非线性系统方面带来了重大挑战.
- 现有的控制策略往往难以准确地估计和预测干扰,从而限制了跟踪性能.
- 完全执行系统 (FAS) 方法提供了增强控制的潜力,但需要强大的干扰排斥机制.
研究的目的:
- 为非线性系统制定反干扰跟踪控制策略,以应对一次性干扰.
- 介绍一个全新的全动作系统 (FAS) 预测控制框架,与通用比例整体观察器 (GPIO) 集成.
- 在存在不确定性和外部干扰的情况下,以确保有限的稳定性和保证所需的跟踪性能.
主要方法:
- 在FAS框架内制定了一个以控制为导向的离散时间非线性系统模型.
- 一个通用比例整体观察器 (GPIO) 设计用于准确的一次性干扰估计,使用一个不那么保守的假设.
- 构建了一个增量FAS (IFAS) 预测模型,通过新的迪奥芬丁方程构建了干扰预览.
主要成果:
- 全国公共交通运输总局 (GPIO) 实现了对一次性干扰的准确估计,从而实现了有效的干扰预览.
- 国际金融体系预测模型为最佳控制器设计提供了多步预测.
- 严格推导出了封闭环FAS的有限稳定性和跟踪性能的足够条件.
结论:
- 拟议的基于GPIO的FAS预测控制有效地解决了非线性系统中的反干扰跟踪控制问题.
- 开发的方法提供了一个可行的和强大的解决方案,通过其应用于航天器态度控制来验证.
- 这种方法提高了控制系统对模型不确定性和外部干扰的弹性.
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