Open AccessResearch on optimization of improved ant colony algorithm in the temperature control process of cold creep forming
Author(s) -
Yiming Xu,
Naijia Liu,
Peng Xue
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 - 10.1088/1742-6596/2005/1/012066
Subject(s) - pid controller , ant colony optimization algorithms , temperature control , matlab , creep , control theory (sociology) , process (computing) , controller (irrigation) , computer science , process control , algorithm , control engineering , control (management) , engineering , materials science , artificial intelligence , composite material , agronomy , biology , operating system
In the process of cold creep forming, the temperature control has problems such as low accuracy and slow response speed. Moreover, the conventional PID temperature controller has poor anti-interference ability and low control accuracy.This paper designs a PID control strategy based on improved ant colony algorithm which is applied to the temperature control of cold creep forming. With the help of Matlab simulation software, a temperature controller simulation model is established, and certain improvements are made to the model on the basis of the traditional ant colony algorithm, applying to search for the optimal parameter combination in PID control. The simulation results show that the designed control strategy can find a better parameter combination than the PID control of the ant colony algorithm. Therefore, the application of this control method to the cold creep forming temperature control system can effectively improve the product quality and production efficiency of the cold creep forming process.