[1]刘树林,于 杰,胡田力*,等.基于AOA-模糊PID算法的大型水厂流量调节阀优化控制研究与试验[J].工业仪表与自动化装置,2025,(05):111-116.[doi:10.19950/j.cnki.CN61-1121/TH.2025.05.021]
　LIU Shulin,YU Jie,HU Tianli,et al.Optimization of flow valves in water plants for complex research and experiment on the optimal control of flow regulating valves in large-scale water plantsbased on the AOA-Fuzzy PID algorithm[J].Industrial Instrumentation & Automation,2025,(05):111-116.[doi:10.19950/j.cnki.CN61-1121/TH.2025.05.021]
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基于AOA-模糊PID算法的大型水厂流量调节阀优化控制研究与试验()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2025年05期
页码:
111-116
栏目:
出版日期:
2025-10-15

文章信息/Info

Title:
Optimization of flow valves in water plants for complex research and experiment on the optimal control of flow regulating valves in large-scale water plantsbased on the AOA-Fuzzy PID algorithm
文章编号:
1000-0682（2025）05-0111-06
作者:
刘树林1;  于 杰2;  胡田力3*;  薛 培3
1. 东莞市水务集团供水有限公司，广东 东莞 523112; 2. 中机第一设计研究院有限公司，安徽 合肥 3002223; 3.北京市市政工程设计研究总院有限公司，北京 100082
Author(s):
LIU Shulin1;  YU Jie2;  HU Tianli3; * XUE Pei3
1. Dong Guan Water Group Water supply Co. Ltd., Guangdong Dongguan, 523112, China; 2. First Design and Research Institute MI China Co..Ltd., Anhui Hefei, 230601, China; 3. Beijing General Municipal Engineering Design & Research Institute Co. Ltd., Beijing, 100082, China;
关键词:
阿基米德优化算法（AOA）; 模糊PID; 在线优化; 流量阀特性曲线
Keywords:
Arithmetic Optimization Algorithm (AOA);  fuzzy PID;  on-line optimization;  flow valve characteristic curve
分类号:
TM933
DOI:
10.19950/j.cnki.CN61-1121/TH.2025.05.021
文献标志码:
A
摘要:
低碳社会经济的发展要求供水系统及时响应工况变化，而流量阀的控制在工况改变、环境条件变化时容易出现偏差、死区、粘滞等现象。该文基于模糊规则技术，构建了流量阀PID参数优化模型。以此模型为约束，基于阿基米德优化算法（AOA）改进的元启发式优化计算模糊参数。通过Matlab仿真实验数据研究在线PID性能优化算法，实现流量阀在线PID性能优化。在水厂进行对比实验，元启发优化的算法的阶跃响应比传统PID快了26 s，比模糊PID快了5 s。元启发式PID控制方法在处理不同工况特性时具有更加出色的控制性能，这不仅提升了系统的响应速度和稳定性，还有效减少了超调和振荡的发生。
Abstract:
The development of a low-carbon social economy demands that water supply systems respond promptly to changes in working conditions. However, the control of flow valves is prone to deviations, dead zones, and stickiness when working conditions or environmental conditions change. This paper constructs a PID parameter optimization model for flow valves based on fuzzy rule technology. With this model as a constraint, the fuzzy parameters are calculated by a meta-heuristic optimization algorithm improved based on the Archimedes Optimization Algorithm (AOA). Through Matlab simulation experiments, the online PID performance optimization algorithm is studied to achieve online PID performance optimization for flow valves. Comparative experiments were conducted in a water plant, and the step response of the meta-heuristic optimization algorithm was 26 seconds faster than that of the traditional PID and 5 seconds faster than that of the fuzzy PID. The meta-heuristic PID control method has more outstanding control performance in handling different working condition characteristics, which not only improves the response speed and stability of the system but also effectively reduces the occurrence of overshoot and oscillation.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2025-04-10第一作者：刘树林（1984—），男，本科，工程师，主要从事自来水厂电气技术及节能降耗工作。通信作者:胡田力（1989—），男，硕士，高级工程师，从事市政工程给排水领域电气、仪表自控设计及研究工作。
更新日期/Last Update: 1900-01-01