单一扰乱的混合系统的数据驱动控制与多速率采样.
Yan He1, Defu Zhu1, Chao Chen2
1College of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450000, China.
ISA transactions
|March 29, 2024
概括
这项研究使用多速率采样确保了单一扰乱的混合系统的指数稳定性. 新的方法分析错误子系统和采样间隔,以实现可靠的控制设计.
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
- 混合动力系统是混合动力系统.
背景情况:
- 单一扰动系统在控制工程中至关重要,经常表现出复杂的动态.
- 多速率采样在分析系统稳定性方面带来了挑战,因为时间尺度各不相同.
- 混合系统结合了连续和离散动态,需要专门的稳定性分析技术.
研究的目的:
- 通过多速率采样,研究非线性单一扰乱混合系统的指数稳定性.
- 为这些系统开发数据驱动机制和多速率采样控制器.
- 分析系统参数和采样比对稳定性的影响.
主要方法:
- 为非线性单一扰动系统开发混合模型.
- 数据驱动机制和多速率采样控制器的设计.
- 关于错误子系统分析新型错误函数和不等式的建议.
- 估计采样间隔的边界,并分析参数效应.
主要成果:
- 建立一个分析目标系统指数稳定性的框架.
- 确定快速和慢速采样间隔的边界.
- 证明扰动参数和采样比如何影响稳定性.
- 使用直流电机模型验证拟议的方法.
结论:
- 拟议的方法有效地解决了单一扰动混合系统的指数稳定性问题,采用多速率采样.
- 这些发现为设计和分析在多速率采样条件下运行的可靠控制系统提供了宝贵的见解.
- 该研究提供了一种实用方法,通过直流电机示例验证,用于提高控制系统性能.
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