Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Huamin ChenThis email address is being protected from spambots. You need JavaScript enabled to view it.

School of Information Engineering, Nanyang Institute of Technology, Nanyang 473000, China


 

Received: February 2, 2023
Accepted: June 11, 2023
Publication Date: July 15, 2023

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202402_27(2).0015  


With the increase in the requirement for control system reliability, fault-tolerant control has become an active research field. For sensor faults in nonlinear systems, based on the idea of active fault-tolerant control, the active fault-tolerant control method with double fault-tolerant controller switching is designed to solve the problem of fault-tolerant control of the system in the case of sensor faults, considering the factor of sudden load changes. Based on fault diagnosis, the method uses diagnostic information and historical data to estimate and compensate the impact of faults on the state estimation of the extended Kalman filter and then uses the compensated state estimation to design a fault-tolerant controller with state feedback that satisfies the stability condition to ensure that the system can operate safely in the case of sensor multiplicative faults. To further improve the dynamic quality. Based on the fault information contained in the deviation between the state estimate of the extended Kalman filter and the one-step prediction estimate, a fault-tolerant control method with a multi-step prediction value instead of the filter valuation constituting the state feedback is proposed to exclude the influence of sensor faults and improve the dynamic performance of the fault-tolerant control. Also, the method can effectively solve the fault-tolerant control problem of additive sensor faults. The simulation results verify the effectiveness of the method.


Keywords: Sensor; Sensor failure; Active fault-tolerant control


  1. [1] X. Lin, M. Xiong, J. Zhang, C. He, X. Ma, H. Zhang, Y. Kuang, M. Yang, and Q. Huang, (2021) “Carbon dots based on natural resources: Synthesis and applications in sensors" Microchemical Journal 160: 105604. DOI: 10.1016/j.microc.2020.105604.
  2. [2] J. J. Ebadpour M Amiri N, (2021) “Fast fault-tolerant control for improved dynamic performance of Hall-sensorcontrolled brushless DC motor drives" IEEE Transactions on Power Electronics 36: 14051–14061. DOI: 10.1109/TPEL.2021.3084921.
  3. [3] K. G. C. Fourlas G K, (2021) “A survey on fault diagnosis and fault-tolerant control methods for unmanned aerial vehicles" Machines 9: 197. DOI: 10.3390/machines9090197.
  4. [4] Y. J. Hu J Sha Y, (2023) “Dual neural networks based active fault-tolerant control for electromechanical systems with actuator and sensor failure" Mechanical Systems and Signal Processing 182: 109558. DOI: 10.1016/j.ymssp.2022.109558.
  5. [5] M. Norizan, N. S. Zulaikha, A. Norhana, M. I. Syakir, and A. Norli, (2021) “Carbon nanotubes-based sensor for ammonia gas detection–an overview" Polimery 66(3): 175–186. DOI: 10.14314/polimery.2021.3.3.
  6. [6] K. I. S. Jan S U Lee Y D, (2021) “A distributed sensorfault detection and diagnosis framework using machine learning" Information Sciences 547: 777–796. DOI: 10.1016/j.ins.2020.08.068.
  7. [7] G. Li, Y. Zheng, J. Liu, Z. Zhou, C. Xu, X. Fang, and Q. Yao, (2021) “An improved stacking ensemble learningbased sensor fault detection method for building energy systems using fault-discrimination information" Journal of Building Engineering 43: 102812. DOI: 10.1016/j.jobe.2021.102812.
  8. [8] J. H., (2021) “Statistics Mahalanobis distance for incipient sensor fault detection and diagnosis" Chemical Engineering Science 230: 116233. DOI: 10.1016/j.ces.2020.116233.
  9. [9] H. Wijaya, P. Rajeev, E. Gad, and R. Vivekanantham, (2022) “Automatic fault detection system for mining conveyor using distributed acoustic sensor" Measurement 187: 110330. DOI: 10.1016/j.measurement.2021.110330.
  10. [10] D. M. Jankowska K, (2022) “Design and analysis of current sensor fault detection mechanisms for PMSM drives based on neural networks" Designs 6: 18. DOI: 10.3390/designs6010018.
  11. [11] W. T. Tunkiel A T Sui D, (2022) “Impact of data preprocessing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework" Journal of Petroleum Science and Engineering 208: 109760. DOI: 10.1016/j.petrol.2021.109760.
  12. [12] V. V. Krivetskiy, M. D. Andreev, A. O. Efitorov, and A. M. Gaskov, (2021) “Statistical shape analysis preprocessing of temperature modulated metal oxide gas sensor response for machine learning improved selectivity of gases detection in real atmospheric conditions" Sensors and Actuators B: Chemical 329: 129187. DOI: 10.1016/j.snb.2020.129187.
  13. [13] L. Erhan, M. Ndubuaku, M. Di Mauro, W. Song, M. Chen, G. Fortino, O. Bagdasar, and A. Liotta, (2021) “Smart anomaly detection in sensor systems: A multiperspective review" Information Fusion 67: 64–79. DOI: 10.1016/j.inffus.2020.10.001.
  14. [14] C. C. W., (2021) “Drones as internet of video things frontend sensors: challenges and opportunities" Discover Internet of Things 1: 13. DOI: 10.1007/s43926-021-00014-7.
  15. [15] U. Saeed, S. U. Jan, Y.-D. Lee, and I. Koo, (2021) “Fault diagnosis based on extremely randomized trees in wireless sensor networks" Reliability engineering & system safety 205: 107284. DOI: 10.1016/j.ress.2020.107284.
  16. [16] F. Miao, R. Zhao, X. Wang, and L. Jia, (2020) “A new fault feature extraction method for rotating machinery based on multiple sensors" Sensors 20(6): 1713. DOI: 10.3390/s20061713.


    



 

2.1
2023CiteScore
 
 
69th percentile
Powered by  Scopus

SCImago Journal & Country Rank

Enter your name and email below to receive latest published articles in Journal of Applied Science and Engineering.