Application of Fault Diagnosis Expert System for Unmanned Vehicle Safety

3rd International Conference on Aeronautical Materials and Aerospace Engineering

航空航天工程

Chen, ChunPing^1^2 ; Zhang, Lin^1 ; Wang, Jie^1 ; Zhang, Jie^1

Graduate School, Air Force Engineering University, Xi'an

710054, China^1

Shanghai Institute of Precision Metrology and Testing, Shanghai

200000, China^2

关键词: Dangerous situations;    Diagnostic expert system;    Fault diagnosis expert system;    Fault diagnosis method;    Incomplete knowledge;    Model- based designs;    Remote;    Underwater unmanned vehicles;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/608/1/012015/pdf
DOI  :  10.1088/1757-899X/608/1/012015

学科分类：航空航天科学

来源: IOP

【 摘 要 】

In order to ensure the safety of the underwater unmanned vehicle (UUV) and reduce the risk of damage or loss during operation, the safety system will be equipped on the UUV. It can accurately locate the fault when the submersible encounters dangerous situations, such as equipment failure and cabin flooding, assess the dangerous situation and make emergency measures, so as to help the underwater unmanned submersible realize self-rescue. Fault diagnosis expert system is a knowledge-based fault diagnosis method, which is suitable for complex systems with incomplete knowledge. However, because the working environment of the underwater unmanned underwater vehicle is very complex and the fault types are diverse and change in real time, the traditional fault diagnosis expert system may not meet the response time requirements of the safety system due to the long response time required. Therefore, the finite state machine technology is applied to the diagnostic expert system to improve the response speed of the diagnostic expert system, and at the same time make the system more flexible and convenient to expand its functions. In addition, the model-based design method was applied to establish the model of the security system in stateflow, and the model verification was carried out. With the help of PLC Coder tool, the code of the target controller was generated and the algorithm was deployed.