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

Authors: Wei Zhao; Feng Gao

Addresses: School of Digital Art and Design, Dalian Neusoft University of Information, Dalian 116023, Liaoning, China ' School of Artificial Intelligence, Chongqing University of Arts and Sciences, Chongqing 402160, China; Lyceum of the Philippines University-Batangas, Batangas City, The Philippines

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.

DOI: 10.1504/IJASS.2023.133892

International Journal of Applied Systemic Studies, 2023 Vol.10 No.2, pp.94 - 110

Received: 11 Mar 2021
Accepted: 22 Nov 2021
Published online: 05 Oct 2023 *

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