一种基于虚拟结构的3型模糊系统,用于在非线性系统中预测传感器和执行器故障检测,补偿和控制
Xiaofeng Hong1, Nurkhat Zhakiyev2,3, Didar Yedilkhan4
1Zhejiang Guangsha Vocational and Technical University of Construction, Dongyang, 322100, China.
Scientific reports
|February 3, 2026
概括
本研究介绍了对未知的非线性系统的活性耐故障控制策略. 它有效地处理执行器和传感器故障,使用模糊逻辑和自适应控制来实现强大的系统性能.
科学领域:
- 控制工程 控制工程 控制工程
- 人工智能的人工智能
- 非线性系统分析 非线性系统分析
背景情况:
- 复杂的非线性系统容易发生执行器和传感器故障.
- 系统动态通常是未知的,需要黑子建模方法.
- 现有的耐故障控制策略可能无法充分解决未知的系统动态.
研究的目的:
- 为具有未知动态的非线性系统制定一个主动故障耐受性控制 (FTC) 策略.
- 为了解决同时执行器和传感器故障.
- 为了系统识别,利用黑子建模方法.
主要方法:
- 一个由三个子系统组成的框架,集成了Type-3模糊逻辑系统,模型预测控制 (MPC) 和自适应稳定.
- 使用3型模糊估计器和监督模块进行传感器故障诊断和补偿.
- 实现一个虚拟结构,包括虚拟组件,以加强故障管理.
主要成果:
- 使用3型模糊逻辑成功建模未知非线性动力学.
- 有效的诊断和补偿传感器故障.
- 展示一个能够处理黑盒非线性系统中执行器和传感器故障的活跃FTC策略.
结论:
- 提出的主动耐故障控制策略对于动态不明的非线性系统是有效的.
- 整合Type-3模糊逻辑和MPC提供了强大的故障处理.
- 黑子方法简化了对故障耐受控制设计的系统识别.
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