Next Article in Journal
Combined Grey Wolf Optimizer Algorithm and Corrected Gaussian Diffusion Model in Source Term Estimation
Previous Article in Journal
Data Driven Model Estimation for Aerial Vehicles: A Perspective Analysis
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System

College of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China
*
Authors to whom correspondence should be addressed.
Processes 2022, 10(7), 1237; https://doi.org/10.3390/pr10071237
Submission received: 26 April 2022 / Revised: 10 June 2022 / Accepted: 13 June 2022 / Published: 22 June 2022

Abstract

Fault diagnosis is studied based on the system type, which facilitates the realization of the engineering configuration and improves the diagnosis efficiency. The fault-tolerant control method is unified based on the concept of fault compensation. According to the dynamic characteristics of the system, the method takes the boundary value of no-fault signal fluctuation as the basis for fault detection, then takes the changing intensity of the solenoid valve control signal after the fault occurs as the fault location basis. Finally, it takes the difference or ratio of the signals before and after the fault occurs as the fault estimation. For the basis of fault separation, the integral value of the fitting equation between the fault signal and time is used as the Eigenvalue of fault type separation to comprehend fault separation. A program is written in C++ and combined with MATLAB/S-Fun function to realize fault tolerance. At the same time, the dynamic model calibration and real-time fault diagnosis, and fault-tolerant control process of sensor fault diagnosis are provided, which makes it suitable for general engineering feedforward-feedback systems and has a certain suppression effect on noise. The simulation results verify that the method is not only viable and it is exact.
Keywords: fault diagnosis; fault-tolerant control; signal processing; data-driven fault diagnosis; fault-tolerant control; signal processing; data-driven

Share and Cite

MDPI and ACS Style

Na, W.; Zan, Q.; Gao, Y.; Guo, S.; Wang, Z. Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System. Processes 2022, 10, 1237. https://doi.org/10.3390/pr10071237

AMA Style

Na W, Zan Q, Gao Y, Guo S, Wang Z. Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System. Processes. 2022; 10(7):1237. https://doi.org/10.3390/pr10071237

Chicago/Turabian Style

Na, Wenbo, Qi Zan, Yanfeng Gao, Siyu Guo, and Zheng Wang. 2022. "Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System" Processes 10, no. 7: 1237. https://doi.org/10.3390/pr10071237

APA Style

Na, W., Zan, Q., Gao, Y., Guo, S., & Wang, Z. (2022). Real-Time Diagnosis and Fault-Tolerant Control of a Sensor Single Fault Based on a Data-Driven Feedforward-Feedback Control System. Processes, 10(7), 1237. https://doi.org/10.3390/pr10071237

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop