Fault-tolerant control method of fuzzy logic system based on decision tree algorithm

Wei Zhao and Feng Gao

International Journal of Applied Systemic Studies, 2023, vol. 10, issue 2, 94-110

Abstract: In order to improve the reconstruction effect of fault parameters in fault tolerant control process, a fuzzy logic system fault tolerant control method based on decision tree algorithm is proposed. The linear model of the system is constructed by decision tree algorithm, and the fault model is constructed by adding fault cases. Then the system fault is detected and the influence of different fault parameters on the system is judged. After designing the fault-tolerant controller of the system, the cooperative variable is used to compensate the fault parameters until the output value of the system is restored to the normal condition, so as to complete the fault-tolerant control. Experimental results show that the reconstruction curve of fault current is more consistent with the theoretical value, which proves that the method improves the accuracy of the reconstruction value of fault parameters and makes the system run more stably.

Keywords: decision tree algorithm; fuzzy logic system; fault tolerant control; cooperative variable; parameter compensation. (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=133892 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijassi:v:10:y:2023:i:2:p:94-110

Access Statistics for this article

More articles in International Journal of Applied Systemic Studies from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().