基于ADP的容错控制与对非线性系统的稳定性保证
Luojia Liu1, Junhong Lv1, Haowei Lin1
1School of Advanced Manufacturing, Guangdong University of Technology, Jieyang 515200, China.
Entropy (Basel, Switzerland)
|October 28, 2025
概括
本研究介绍了非线性系统的基于自适应动态编程 (ADP) 的稳定性保证的容错控制 (FTC). 该方法有效地消除了使用故障观察器和神经网络的执行器故障影响,确保了系统稳定性.
科学领域:
- 控制理论 控制理论
- 非线性系统是非线性系统.
- 人工智能的人工智能
背景情况:
- 非线性系统中的执行器故障会导致性能降低和不稳定.
- 现有的容错控制 (FTC) 方法可能需要严格的初始条件.
- 适应动态编程 (ADP) 为最佳控制设计提供了数据驱动的方法.
研究的目的:
- 为具有执行器故障的非线性系统开发基于自适应动态编程 (ADP) 的稳定性保证的容错控制 (FTC) 策略.
- 设计一个故障观察器来识别未知的执行器故障.
- 确保系统稳定性,而不依赖于最初可接受的控制假设.
主要方法:
- 故障观察器的设计,以估计未知的执行器故障.
- 使用关键神经网络 (NN) 来接近名义系统的最佳控制.
- 基于利亚普诺夫稳定定理的稳定意识重量更新机制的开发.
- 整合故障估计和故障补偿的名义最佳控制.
主要成果:
- 拟议的基于ADP的FTC有效消除了执行器故障的影响.
- 对于观察者误差,NN重量估计误差以及使用利亚普诺夫直接方法的闭环系统,均的终极边界性得到证明.
- 模拟示例验证了开发的控制策略的有效性和稳定性保证.
结论:
- 开发的以ADP为基础的FTC提供了稳定性保证的稳定性,为执行器故障的非线性系统提供了强大的故障耐受性.
- 该方法放松了最初的控制约束,提高了适用性.
- 该方法通过模拟证明了强大的理论基础和实际有效性.
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