Volume 45 Issue 4
Apr.  2019
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LIU Hongfei, YU Liming, ZHANG Zhu, et al. Fault diagnosis for SHA/EMA redundant system based on bond graph model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 760-768. doi: 10.13700/j.bh.1001-5965.2018.0150(in Chinese)
Citation: LIU Hongfei, YU Liming, ZHANG Zhu, et al. Fault diagnosis for SHA/EMA redundant system based on bond graph model[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(4): 760-768. doi: 10.13700/j.bh.1001-5965.2018.0150(in Chinese)

Fault diagnosis for SHA/EMA redundant system based on bond graph model

doi: 10.13700/j.bh.1001-5965.2018.0150
Funds:

National Natural Science Foundation of China 51275021

More Information
  • Corresponding author: YU Liming, E-mail: yuliming@buaa.edu.cn
  • Received Date: 22 Mar 2018
  • Accepted Date: 23 Nov 2018
  • Publish Date: 20 Apr 2019
  • For the complex fault modes in the redundant system composed of servo-controlled hydraulic actuator (SHA) and electromechanical actuator (EMA), the fault diagnosis method based on bond graph model can be used to diagnose many parameter faults in the system. Firstly, the behavioral model of SHA/EMA redundant system was established, from which the diagnostic bond graph model was transformed according to the causality inversion method, and then the analytical redundancy relation (ARR) was derived to calculate system residuals, and the fault signature matrix (FSM) was created as a basis for fault isolation. Several typical faults were selected for simulation verification. Behavioral model and diagnostic model were coupled to diagnose isolated faults, and fault parameters were estimated through ARR to diagnose inseparable faults. The results show that both isolated and inseparable faults are successfully isolated, and this method is verified to be effective and feasible for fault diagnosis of SHA/EMA redundant system.

     

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