Research on the control of oven temperature based on the improved particle swarm fuzzy PID

HanSong Li; JianDe Su; GuangJun Lu; Tao Hou; FaGuan Huang

doi:10.1117/12.2685329

21 July 2023 Research on the control of oven temperature based on the improved particle swarm fuzzy PID

HanSong Li, JianDe Su, GuangJun Lu, Tao Hou, FaGuan Huang

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127170L (2023) https://doi.org/10.1117/12.2685329
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

The control of oven temperature is a lagging, nonlinear system. To address the problem of poor results of traditional PID control of oven temperature, the mathematical model of oven temperature is derived by testing the temperature data of the oven. Using the traditional PID control, adding fuzzy control, particle swarm algorithm, and proposing an improved particle swarm to calculate the PID parameters in the fuzzy control, the temperature control of the oven equipment is carried out, and the weighting factor and learning factor in the particle swarm are optimized and adjusted respectively. The effectiveness is verified by MATLAB program and Simulink simulation, and compared with traditional PID and fuzzy PID, the method has fast response, small overshoot, faster stabilization time, all aspects due to the traditional method.

Citation Download Citation

HanSong Li, JianDe Su, GuangJun Lu, Tao Hou, and FaGuan Huang "Research on the control of oven temperature based on the improved particle swarm fuzzy PID", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127170L (21 July 2023); https://doi.org/10.1117/12.2685329

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