Open AccessApplication of Particle Swarm Fuzzy-Smith PID in Temperature Control of Bag Filter
Author(s) -
Yuanfang Wei,
Fa Cheng,
Na Tang,
Xin He
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012003
Subject(s) - pid controller , control theory (sociology) , overshoot (microwave communication) , particle swarm optimization , matlab , settling time , fuzzy logic , computer science , fuzzy control system , lag , step response , temperature control , control engineering , engineering , control (management) , algorithm , artificial intelligence , telecommunications , computer network , operating system
The temperature control of the bag filter is a non-linear control system with large time lag and too complicated environmental factors. Therefore, building an accurate model is very difficult and thus unable to perform precise control. Currently, fuzzy PID methods are mostly used. However, fuzzy PID relies too much on expert experience. After the parameter value is set, it cannot be adjusted with the change of the input error, and the dynamic performance is poor. In this article, optimizing the scale factors K p , K i , K d and quantization factors K e , K ec in fuzzy PID control by particle swarm optimization. Besides, smith control aimed to eliminate the effect of time lag and then using MATLAB to verify the effectiveness of the algorithm. Experiments show that particle swarm optimization fuzzy PID has faster response speed, smaller overshoot, and shorter time to reach a steady state.