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Improved Ant Colony Algorithm for Optimising Electric Regulating Valve Opening Single Neuron PID Control
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Jia-xin QI1, Shao-lin HU2, *, Hong-li HE3, Sai ZHANG4
Science Technology and Engineering | 2025, 25(19) : 8135 - 8141
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Science Technology and Engineering | 2025, 25(19): 8135-8141
• Papers∙Automation and Computational Technology •
Improved Ant Colony Algorithm for Optimising Electric Regulating Valve Opening Single Neuron PID Control
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Jia-xin QI1, Shao-lin HU2, *, Hong-li HE3, Sai ZHANG4
Affiliations
  • 1 Electronic Information Engineering College, Xi'an Technological University, Xi'an 710000, China
  • 2 Automation College, Guangdong Institute of Petroleum and Chemical Industry, Maoming 525000, China
  • 3 Institute of China Academy of Flight Test and Research, Xi'an 710000, China
  • 4 Information and Control Engineering College, Jilin Chemical Technology University, Jilin 132000, China
Published: 2025-07-08 doi: 10.12404/j.issn.1671-1815.2406003
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Aiming at the nonlinearity and multi-disturbance problems of the electric regulating valve control system in the actual production process, a control method based on the improved ant colony algorithm to optimize the single neuron PID (proportional integral derivative) was proposed and applied to the valve opening control. The self-learning and self-adaptive ability of the single-neuron network was used to achieve the online tuning of PID control parameters. The improved ant colony optimization algorithm was adopted to optimize the learning rate and neuron ratio coefficients in the single-neuron PID, which effectively overcomed the shortcomings of the single-neuron PID where the learning rate and neuron ratio coefficients could not achieve the expected control effect due to the empirical setting. The simulation comparison results show that, compared with the traditional PID, single neuron PID, and single neuron PID based on ant colony optimization algorithm optimization of the three control methods, the control method proposed overshoots the amount of reduction of 10.2%, 6.1%, and 1.8%, respectively. At the same time, the regulation time is correspondingly shortened by 0.22s, 0.07s, and 0.03s. It shows a stronger adaptive and anti-interference ability, which can make the valve opening control more stable and reliable.

electric regulating valve  /  valve opening control  /  single neuron PID  /  improved ant colony optimisation algorithm
Jia-xin QI, Shao-lin HU, Hong-li HE, Sai ZHANG. Improved Ant Colony Algorithm for Optimising Electric Regulating Valve Opening Single Neuron PID Control[J]. Science Technology and Engineering, 2025 , 25 (19) : 8135 -8141 . DOI: 10.12404/j.issn.1671-1815.2406003
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Article Info
doi: 10.12404/j.issn.1671-1815.2406003
  • Receive Date：2024-08-09
  • Online Date：2025-12-22
  • Published：2025-07-08
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History
  • Received：2024-08-09
  • Revised：2024-12-23
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Affiliations
    1 Electronic Information Engineering College, Xi'an Technological University, Xi'an 710000, China
    2 Automation College, Guangdong Institute of Petroleum and Chemical Industry, Maoming 525000, China
    3 Institute of China Academy of Flight Test and Research, Xi'an 710000, China
    4 Information and Control Engineering College, Jilin Chemical Technology University, Jilin 132000, China
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