4.6 Article

Stability of Zeros for Sampled-Data Models with Triangle Sample and Hold Implemented by Zero-Order Hold

期刊

MACHINES
卷 10, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/machines10050386

关键词

zeros; stability; approximate triangle sample and hold; sampled-data models; zero-order hold

资金

  1. National Natural Science Foundation of China [61771077]
  2. Science and Technology Research Program of Chongqing Municipal Education Commission [KJQN202103401, KJQN201903402, KJQN202103404]
  3. Natural Science Foundation of Chongqing, China [cstc2021jcyj-msxmX0532, cstc2018jcyjAX0815]
  4. Program for Innovation Research Groups at Institutions of Higher Education in Chongqing [CXQT21032]

向作者/读者索取更多资源

This paper investigates the stability characteristics of zeros for sampled-data models with a triangle sample and hold. The results show that the triangle sample and hold can improve the stability properties of zeros compared to the traditional zero-order hold. An approximated method and the corresponding accurate sampled-data model are proposed in this paper.
This paper deals with the stability characteristics of zeros for sampled-data models with a class of triangle sample and hold realized by a traditional zero-order hold. For any controlled models in the modern industrial system, using a digital control strategy has been shown to provide the means to achieve the assigned objectives. In this process, one must utilize the sample and hold device to obtain the sampled-data models. Previous studies have shown that the triangle sample and hold can improve the stability properties of zeros of a sampled-data control system compared with zero-order hold. However, it is difficult to use triangle sample and hold in practice. In this paper, an approximated method of using triangle sample and hold is proposed. More importantly, on the basis of that method, we explicitly derive the corresponding accurate sampled-data model of controlled models. In addition, we also provide the expression for sampling zeros and the theorem for the stability of a linear control system in the fast sampling process. The results of this paper show that the proposed method has the same advantages as the accurate one. Finally, theoretical findings are validated through numerical simulations with different considerations.

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