Open AccessDesign of Diesel Oxidation Catalyst Temperature Control System Based on Fuzzy Adaptive PID
Author(s) -
Ning Wang,
Sun Yi,
Yunfeng Hu,
Jinghua Zhao,
Xun Gong
Publication year - 2022
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 - 10.1088/1742-6596/2203/1/012041
Subject(s) - pid controller , overshoot (microwave communication) , diesel fuel , temperature control , control theory (sociology) , exhaust gas , matlab , sensitivity (control systems) , volumetric flow rate , control engineering , fuzzy logic , diesel engine , fuzzy control system , controller (irrigation) , computer science , engineering , automotive engineering , control (management) , waste management , thermodynamics , telecommunications , agronomy , physics , artificial intelligence , electronic engineering , biology , operating system
This paper presents a temperature control framework of Diesel Oxidation Catalyst (DOC) of after-treatment system (ATS) which aims to increase the control precise of DOC temperature under different exhaust flow rates. To start with, a control-oriented DOC temperature model is established. Considering the sensitivity of DOC to different exhaust flow rate, a fuzzy adaptive PID temperature control system framework under the Smith predictor is designed. Finally, the controller is verified in the Matlab/Simulink. The results show that when tracking the desired temperature, the overshoot is reduced and the response speed is faster at different exhaust flow rates compared with the traditional PID control system.