Fault analysis for flight control system using weighted fuzzy Petri Nets

作者：Liu Jiufu^*; Chen Kui; Wang Zhisheng

来源：Journal of Convergence Information Technology, 2011, 6(3): 146-155.

DOI：10.4156/jcit.vol6. issue3.16

• Fault analysis
• Fault diagnosis
• Fault diagnosis expert system
• Flight control
• Flight control software
• Fuzzy Petri nets
• Human expert
• Human expertise
• Reasoning rules
• Rule based reasoning
• Rule-based knowledge
• Safety issues

The safety issue plays an important role for the reliability of flight control software of unmanned aerial vehicle(UAV), it is required to design a fault diagnosis expert system in flight control system. Our main contribution to this work is in providing a weighted fuzzy Petri Nets approach for modeling the fault diagnosis of flight control system. The systematic rule-based knowledge is obtained from human expertise and the fault diagnosis is opening, in which the reasoning rules can be updated and added anytime. The diagnosis result of the proposed the fault diagnosis of flight control system without human expert is consistent with the real result. It is shown that the fault diagnosis of flight control system is very effective and efficient.

• 出版日期2011
• 单位南京航空航天大学