|本期目录/Table of Contents|

[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]
点击复制

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(PDF)

《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:

[1] 朱敏,赵聪聪,臧昭宇.基于改进型模糊神经网络PID阀位控制研究[J]. 现代制造工程, 2022(01): 125-131. 论文集中的析出文献

[2] 冯树森. 加热炉燃烧系统模糊 PID 控制方法研究[D]. 沈阳:东北大学, 2011.
[3] 王辰昊,高强,毛梦娜,等.并联泵组的多目标控制策略[J].人民长江, 2019, 50(12):6-11.
[4] 李承泳.多泵并联离心流量阀节能控制方法[J].建筑热能通风空调, 2018, 37(4):3-12.
[5] 张磊.大型流量阀维护与性能优化研究[J].水上安全, 2024(003):001-007.
[6] 王文杰,龚小波,裴吉,等.改进离散型遗传算法在离心泵性能优化中的应用[J].华中科技大学学报:自然科学版, 2023, 51(7):130-136.
[7] 安力钢.流量阀电机的设计优化及性能影响因素研究[J].机械管理开发, 2023, 38(4):12-13.
[8] 丁浩,吕玉婷,卜舸,等.青龙山南站泵装置流道优化及模型试验分析[J].水电能源科学, 2022,11(4):32-40.

相似文献/References:

[1]吴 宁,尚坡利.基于PIC16F876的温湿度无线控制系统设计[J].工业仪表与自动化装置,2015,(04):76.
　WU Ning,SHANG Poli.The design of the temperature and humidity wireless control system based on PIC16F876[J].Industrial Instrumentation & Automation,2015,(05):76.
[2]张英坤,刘会忠.基于模糊PID的石墨化炉温度控制系统[J].工业仪表与自动化装置,2015,(06):26.
　ZHANG Yingkun,LIU Huizhong.The temperature control system of graphitization furnace based on fuzzy PID[J].Industrial Instrumentation & Automation,2015,(05):26.
[3]吴明亮,魏胜旗.基于PLC的负压煤粉制备控制系统的设计[J].工业仪表与自动化装置,2016,(05):60.
　WU Mingliang,WEI Shengqi.Design of the control system of the negative pressure coal powder preparation based on PLC[J].Industrial Instrumentation & Automation,2016,(05):60.
[4]童克波.基于模糊PID和现场总线的多电动机同步控制应用[J].工业仪表与自动化装置,2017,(02):90.
　TONG Kebo.Application of multi motor synchronous control based on fuzzy PID and field bus[J].Industrial Instrumentation & Automation,2017,(05):90.
[5]窦立环.基于自适应模糊PID的二级倒立摆稳定控制研究[J].工业仪表与自动化装置,2017,(06):124.[doi:1000-0682（2017）06-0124-03]
　DOU Lihuan.Stable control research of double inverted pendulum based on the fuzzy self-adaptive PID controller[J].Industrial Instrumentation & Automation,2017,(05):124.[doi:1000-0682（2017）06-0124-03]
[6]施明泰,胡全贵,郭 翔,等.数据中心智能巡检机器人管理平台自主控制方法[J].工业仪表与自动化装置,2020,(02):65.
　SHI Mingtai,HU Quangui,GUO Xiang,et al.Autonomous control method for intelligent inspection robot management platform of data center[J].Industrial Instrumentation & Automation,2020,(05):65.
[7]韩 勇,霍迎秋,费攀锋.基于模糊PID的电力铁塔攀爬机器人末端位姿控制研究[J].工业仪表与自动化装置,2023,(03):80.[doi:10.19950/j.cnki.cn61-1121/th.2023.03.016]
　HAN Yong,HUO Yingqiu FEI Pan-feng.Research on terminal position and attitude control of power tower climbing robot based on fuzzy PID[J].Industrial Instrumentation & Automation,2023,(05):80.[doi:10.19950/j.cnki.cn61-1121/th.2023.03.016]
[8]戴忠玉,胡芳仁,尤敦喜,等.用于CRDS痕量气体检测的温控系统设计与实现[J].工业仪表与自动化装置,2023,(06):32.[doi:DOI:10.19950/j.cnki.cn61-1121/th.2023.06.005]
　DAI Zhongyu,HU Fangren,YOU Dunxi,et al.Design and implementation of a temperature control system for trace gas detection in CRDS[J].Industrial Instrumentation & Automation,2023,(05):32.[doi:DOI:10.19950/j.cnki.cn61-1121/th.2023.06.005]
[9]顾志恩,贺 轼,吴梦可,等.基于BLE无线网络的智慧供热系统设计[J].工业仪表与自动化装置,2024,(03):42.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.008]
　GU Zhien,HE Shi,WU Mengke,et al.Design of intelligent heating system based on BLE wireless network[J].Industrial Instrumentation & Automation,2024,(05):42.[doi:DOI:10.19950/j.cnki.CN61-1121/TH.2024.03.008]
[10]王恩毓,徐宏,白晖华.转炉风机负荷分配在 PS 转炉集中供风系统中的应用[J].工业仪表与自动化装置,2025,(01):116.[doi:10.19950/j.cnki.CN61-1121/TH.2025.01.021]
　ZHANG Yue.Fuzzy PID temperature control of industrial boiler based on thermocouple temperature sensor data acquisition[J].Industrial Instrumentation & Automation,2025,(05):116.[doi:10.19950/j.cnki.CN61-1121/TH.2025.01.021]

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