对于具有传感器和执行器故障的不确定非线性系统,基于高增益模糊观察者的量子化输入控制.
Yue Sun1, Chuang Gao1, Yonghui Yang1
1University of Science and Technology Liaoning, School of Electronic and Information Engineering, Anshan Liaoning, 114051, China.
ISA transactions
|August 9, 2025
概括
本研究引入了一种新的控制方案,以保持非线性系统性能,尽管传感器和执行器故障. 适应性补偿方法确保可靠的系统输出跟踪,增强控制的稳定性.
科学领域:
- 控制系统工程 控制系统工程
- 非线性系统分析 非线性系统分析
- 耐故障控制控制的控制方式
背景情况:
- 非线性系统容易因传感器和执行器故障而导致性能下降.
- 在这种故障条件下,现有的控制方案往往难以保持稳定性和性能.
- 强大的控制策略对于安全关键应用中的可靠运行至关重要.
研究的目的:
- 为解决同时发生的传感器和执行器故障的非线性系统提出一种新的控制方案.
- 为高增益模糊观察者开发适应性补偿机制,以减轻传感器故障的影响.
- 整合命令过和定量输入控制,以简化设计和有效利用资源.
主要方法:
- 一种新的补偿失效增益机制,用于高增益模糊观察者,具有适应性补偿术语.
- 应用命令过技术来管理系统动态.
- 利用定量输入控制来提高通信资源的效率.
- 确保系统输出在故障条件下遵循参考信号.
主要成果:
- 拟议的控制方案有效地弥补非线性系统中的传感器和执行器故障.
- 高增益模糊观察者中的自适应补偿项成功地减轻了传感器故障的影响.
- 命令过和定量输入控制的整合简化了控制器的设计.
- 模拟示例证明了拟议的耐故障控制方案的实用性和优势.
结论:
- 开发的控制方案为面临传感器和执行器故障的非线性系统提供了强大的性能.
- 适应性补偿策略增强了模糊观察者对传感器故障的弹性.
- 控制器确保可靠的系统输出跟踪,证明其有效性和实用性.
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