An anomaly detection method of environmental sensor data flow based on fuzzy PID control

Zhaoxia Zhang

doi:10.1117/12.2644687

10 November 2022 An anomaly detection method of environmental sensor data flow based on fuzzy PID control

Zhaoxia Zhang

Proceedings Volume 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022); 123012S (2022) https://doi.org/10.1117/12.2644687
Event: 6th International Conference on Mechatronics and Intelligent Robotics, 2022, Kunming, China

Abstract

For special systems such as nonlinear large time delay, there is a problem that the control effect of conventional PID controller is not ideal. Therefore, a fuzzy-PID control method is proposed by combining the advantages of fuzzy control and conventional PID control. By combining different basic features, this method makes the meaning of alarm clearer, and has better scalability and success. At the same time, it provides a good platform for information interaction of anomaly detection. The electronic devices in the computer control system mostly work in high-voltage environment. The working intensity of the sensor is very high, but its high precision determines that its fault characteristic pole signal is easily interfered. In the hydraulic control system, the technical state of the sensor in the detection link directly affects the working performance of the system. Fuzzy controller can control complex and unclear systems simply and effectively. Therefore, combining the advantages of traditional PID and controller, and considering the characteristics of fuzzy control, the idea of fuzzy PID and controller is put forward. The simulation experiment on the actual power load data proves that this method can accurately detect the abnormal data online and provide correct abnormal data correction.

Citation Download Citation

Zhaoxia Zhang "An anomaly detection method of environmental sensor data flow based on fuzzy PID control", Proc. SPIE 12301, 6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022), 123012S (10 November 2022); https://doi.org/10.1117/12.2644687

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