Simulation Application of BPNN-PID Controller with Improved Ant Colony Algorithm in Temperature Control System

Authors

  • Cong Gao
  • Mingge Sun
  • Xiaolong Guo
  • Yinggang Li
  • Xingke Zhang

DOI:

https://doi.org/10.54097/3tqzrn97

Keywords:

Hysteresis, Ant Colony Algorithm, BPNN-PID Control, Temperature Control

Abstract

Aiming at the nonlinear and hysteresis of PID controller in temperature control, this paper proposes a BPNN-PID control scheme with improved ant colony algorithm, and uses MATLAB to simulate and compare experiments. The results show that compared with the traditional ant colony algorithm control and BPNN control methods, the improved system has higher precision and better anti-interference ability in temperature control, and has higher practical application value.

Downloads

Download data is not yet available.

References

Zhou Xin, Zhou Qi-Xiang, Yang Xu, et al. Design and Application of Temperature Servo Control System for Resistance Furnace [J]. Journal of Jilin University of Chemical Technology,20,37(7):45-48.

Wang Qiuping, Ma Chunlin, Xiao Lingling, et al. Application of Ant Colony Algorithm to Optimize BP Neural Network in Main Steam Temperature Control [J]. Chemical Automation and Instrumentation,2013,40(7):834-837.

QIONG WANG, XIAOKAN WANG. Parameters Optimization of the Heating Furnace Control Systems Based on BP Neural Network Improved by Genetic Algorithm[J]. Journal on Internet of Things, 2019,2(2):75-80.

Jiang Meixian, Wang Zhenshui, Wu Guoxing, et al. Control model and simulation of rice wine pre-fermentation temperature based on BPNN [J]. Journal of Zhejiang University of Technology,20,48(6):620-626.

Su Gang, Liu Hao, Qiao Junfeng, et al. Predictive adaptive PID control Method for Temperature system [J]. Journal of Jilin University (Information Science Edition),2022,40(1):1-6.

Wang Xiaoyu, Yan Yuwei. PLC Design and Implementation of BP Neural Network Electric Heating Temperature Control System [J]. Automation & Instrumentation, 201,36(12):24-28.

Xiong Chang-Jiong, Wang Chun-Rong, Xia Erdong. Research on Temperature Control of Heating Furnace Based on Improved PID Algorithm [J]. China Equipment Engineering, 2022 (12): 101-102.

Liang Hai-tao, Zhang Chun-yu, Chen Wei. Research on temperature control of tea strip machine based on BP neural network PID control [J]. Journal of Xinyang Agriculture and Forestry College,2021,31(2): 107-112.

Fu Xin, Li Jing. Ant colony algorithm [J]. Silicon Valley, 2012 (3):183-183.

Sun Y, Dong W ,Chen Y .An Improved Routing Algorithm Based on Ant Colony Optimization in Wireless Sensor Networks[J].IEEE Communications Letters,2017:1-1

Zhou Jianxin, Huang Jianxiong. Temperature control of PIDNN heating furnace based on improved ant colony immune algorithm [J]. Sichuan Metallurgy,20,42(3):22-26.

Yu Menghan. Research on Optimal Combustion Control Strategy of Continuous Steel Rolling Heating Furnace [D]. North China University of Science and Technology,2022.

Yang Yi, Tiger Grace. BP Neural Network PID Controller based on S function and Simulink Simulation [J]. Electronic Design Engineering,2014,22(4):29-31,35.

Downloads

Published

27-06-2024

Issue

Section

Articles

How to Cite

Gao, C., Sun, M., Guo, X., Li, Y., & Zhang, X. (2024). Simulation Application of BPNN-PID Controller with Improved Ant Colony Algorithm in Temperature Control System . Frontiers in Computing and Intelligent Systems, 8(3), 90-94. https://doi.org/10.54097/3tqzrn97