基于模糊PID算法的镁基固态储氢装置控制系统

宋文杰; 李森; 冯文博; 李誉之; 袁越锦

doi:10.19799/j.cnki.2095-4239.2025.1166

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基于模糊PID算法的镁基固态储氢装置控制系统

储能系统与工程 | 更新时间：2026-07-13

- 基于模糊PID算法的镁基固态储氢装置控制系统
- A control system for magnesium-based solid-state hydrogen storage devices based on fuzzy PID algorithms
- 储能科学与技术 2026年15卷第6期页码：2247-2257
- 作者机构：
  
  陕西科技大学，陕西西安 710021
- 作者简介：
  
  宋文杰（1987—），男，博士，副教授，研究方向为镁基固态储氢材料及装备研发，E-mail：songwenjie@sust.edu.cn。
- 基金信息：
  
  国家自然科学基金(52201265);陕西省重点研发计划秦创原“科学家+工程师”队伍(2023KXJ-060);陕西省重点研发计划技术创新引导专项(2024ZC-YYDP-29);陕西省重点研发计划关键核心技术攻关项目(2024CY2-GJHX-02);陕西省留学人员科技活动择优资助项目(2024011);咸阳市重大科技创新专项(L2025-ZDKJ-ZDGG-QN-006)
- DOI：10.19799/j.cnki.2095-4239.2025.1166
  中图分类号： TK 91
- 收稿：2025-12-29，
  
  修回：2026-02-13，
  
  纸质出版：2026-06-28
- 稿件说明：
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宋文杰, 李森, 冯文博, 等. 基于模糊PID算法的镁基固态储氢装置控制系统[J]. 储能科学与技术, 2026, 15(6): 2247-2257.

SONG Wenjie, LI Sen, FENG Wenbo, et al. A control system for magnesium-based solid-state hydrogen storage devices based on fuzzy PID algorithms[J]. Energy Storage Science and Technology, 2026, 15(6): 2247-2257.
宋文杰, 李森, 冯文博, 等. 基于模糊PID算法的镁基固态储氢装置控制系统[J]. 储能科学与技术, 2026, 15(6): 2247-2257. DOI： 10.19799/j.cnki.2095-4239.2025.1166.

SONG Wenjie, LI Sen, FENG Wenbo, et al. A control system for magnesium-based solid-state hydrogen storage devices based on fuzzy PID algorithms[J]. Energy Storage Science and Technology, 2026, 15(6): 2247-2257. DOI： 10.19799/j.cnki.2095-4239.2025.1166.

摘要

针对镁基固态储氢装置运行中温度、压力及流量等多参数动态控制需求，传统PID控制存在响应迟缓、超调量大及稳态精度不足等问题，严重影响装置运行稳定性与储氢工艺可控性，为提升装置控制系统性能，提出了一种基于模糊PID算法的控制方案。该方案以S7-200 smart PLC为控制系统核心，根据各参数控制要求建立传递函数，并借助MATLAB/Simulink仿真平台构建模糊控制器及各参数控制仿真模型，系统开展了传统PID与模糊PID对比仿真测试，重点分析两者在参数调节精度、响应速度及稳定性等方面的性能差异。结果表明，采用模糊PID算法控制时，温度、压力及流量控制的调节时间分别缩短了50%、60%和33%，系统响应速度和调节速率大幅提升，稳定性、抗干扰能力等核心性能均得到明显优化。本研究不仅能够高效适配镁基固态储氢装置的多参数控制需求，同时可充分满足装置常规运行的精准控制要求，有效提升了装置整体运行的稳定性与储氢工艺的可控性，为镁基固态储氢装置的智能化调控提供了切实可行的控制技术方案。

Abstract

To address the requirements for multiparameter dynamic control of temperature

pressure

and flow rate during the operation of magnesium-based solid-state hydrogen storage devices

traditional PID control suffers from issues such as slow response

substantial overshoot

and insufficient steady-state accuracy. These issues severely impact the operational stability of the devices and the controllability of the hydrogen storage process. To enhance the control system performance of magnesium-based solid-state hydrogen storage devices

we propose a control scheme based on a fuzzy PID algorithm. This scheme employs the S7-200 smart PLC as the control system core. Transfer functions are established according to the control requirements of each parameter. Using the MATLAB/Simulink simulation platform

a fuzzy controller and simulation models for each parameter control are constructed. The system conducts comparative simulation tests between traditional and fuzzy PIDs

focusing on analyzing performance differences in parameter adjustment accuracy

response speed

and stability. The results demonstrate that when using the fuzzy PID algorithm for control

the adjustment times for temperature

pressure

and flow control are reduced by 50%

60%

and 33%

respectively. System response speed and adjustment rate are considerably enhanced

with core performance metrics such as stability and interference resistance markedly optimized. This study not only efficiently adapts to the multiparameter control requirements of magnesium-based solid hydrogen storage devices but also fully satisfies the precise control demands of routine operations. It effectively enhances the overall operational stability of the devices and the controllability of the hydrogen storage process

providing a practical control technology solution for the intelligent regulation of magnesium-based solid hydrogen storage systems.

关键词

Keywords

references

李致朋, 叱干东东, 肖仪卓, 等. 中国氢能产业关键技术发展与应用探究[J]. 河南师范大学学报(自然科学版), 2026, 54(1): 147-156, F0002, I0028.

LI Z P, CHIGAN D D, XIAO Y Z, et al. Exploration of key technologies development and application in China's hydrogen energy industry[J]. Journal of Henan Normal University (Natural Science Edition), 2026, 54(1): 147-156, F0002, I0028.

郑新宇, 徐咏, 谢睿杰, 等. 中国氢能发展路径及突破口: 基于美国氢能战略转型与中美氢能发展差异化的启示[J]. 储能科学与技术, 2025, 14(12): 4654-4671. DOI: 10.19799/j.cnki.2095-4239. 2025.0575.

ZHENG X Y, XU Y, XIE R J, et al. Pathways and breakthroughs in China's hydrogen development: Lessons from US strategy evolution and China-US comparative analysis[J]. Energy Storage Science and Technology, 2025, 14(12): 4654-4671. DOI: 10.19799/j.cnki.2095-4239.2025.0575.

倪耀琪, 朱恒恺. "双碳"目标下氢能发展机遇、难点与路径选择[J]. 现代化工, 2024, 44(2): 1-8.

NI Y Q, ZHU H K. Opportunities, difficulty and path choice for hydrogen energy development under "carbon dioxide emission peaking and carbon neutrality" goal[J]. Modern Chemical Industry, 2024, 44(2): 1-8.

邹建新, 丁文江. 2023年镁基储氢材料研究热点回眸[J]. 科技导报, 2024, 42(1): 204-216. DOI: 10.3981/j.issn.1000-7857.2024. 01.013.

ZOU J X, DING W J. Review of research hotspots in magnesium-based hydrogen storage materials in 2023[J]. Science & Technology Review, 2024, 42(1): 204-216. DOI: 10.3981/j.issn. 1000-7857.2024.01.013.

张中卫, 杨彦奇, 杨海坤. 基于自适应模糊PID的输液温度控制系统研究[J]. 河南理工大学学报(自然科学版), 2023, 42(3): 137-145.

ZHANG Z W, YANG Y Q, YANG H K. Study on infusion temperature control system based on adaptive fuzzy PID[J]. Journal of Henan Polytechnic University (Natural Science), 2023, 42(3): 137-145.

蒋凌云, 魏庆来, 张峰华, 等. 基于改进粒子群优化算法的PID控制器参数整定[J]. 控制工程, 2024, 31(3): 470-477. DOI: 10.14107/j.cnki.kzgc.20210776.

JIANG L Y, WEI Q L, ZHANG F H, et al. PID controller parameter tuning based on improved particle swarm optimization algorithm[J]. Control Engineering of China, 2024, 31(3): 470-477. DOI: 10.14107/j.cnki.kzgc.20210776.

QI R M, LI J R, LIN J, et al. Design of the PID temperature controller for an alkaline electrolysis system with time delays[J]. International Journal of Hydrogen Energy, 2023, 48(50): 19008-19021. DOI: 10.1016/j.ijhydene.2023.01.356.

RAHMANI A, DIBAJ M, AKRAMI M. Design and simulation of battery thermal management systems for electric vehicles using MATLAB Simulink[J]. Journal of Energy Storage, 2025, 111: 115398. DOI: 10.1016/j.est.2025.115398.

VEYNA U, BLASCO X, HERRERO J M, et al. Parameter uncertainty modeling for multiobjective robust control design. Application to a temperature control system in a proton exchange membrane fuel cell[J]. Engineering Applications of Artificial Intelligence, 2023, 119: 105758. DOI: 10.1016/j.engappai.2022. 105758.

WEI H Y, ZHU N, SUN Z Y, et al. Research on the intelligent control strategy of pressurizer pressure in PWRs based on a fuzzy neural network PID controller[J]. Nuclear Engineering and Design, 2025, 433: 113875. DOI: 10.1016/j.nucengdes.2025. 113875.

李亦仲, 虎恩典, 王振. 基于模糊PID的烘干炉温度控制研究[J]. 仪表技术, 2024(5): 74-76.

LI Y Z, HU E D, WANG Z. Research on temperature control of drying furnace based on fuzzy PID[J]. Instrumentation Technology, 2024(5): 74-76.

张博, 高晓红, 吕宝传, 等. 基于模糊PID的太阳能供热控制系统设计和仿真[J]. 信息技术与信息化, 2021(7): 161-163.

ZHANG B, GAO X H, LÜ B C, et al. Design and simulation of solar heating control system based on fuzzy PID[J]. Information Technology and Informatization, 2021(7): 161-163.

陈季云. 基于MATLAB/Simulink的纯电动汽车动力学建模与仿真分析[J]. 时代汽车, 2025(8): 91-93.

CHEN J Y. Dynamic modeling and simulation analysis of pure electric vehicles based on MATLAB/Simulink[J]. Auto Time, 2025(8): 91-93.

李永涛, 木合塔尔·克力木, 杨波. 基于MATLAB/Simulink的压裂泵流量脉动抑制研究[J]. 机床与液压, 2023, 51(2): 169-173.

LI Y T, MUHETAER K, YANG B. Study on flow pulsation suppression of fracturing pump based on MATLAB/Simulink[J]. Machine Tool & Hydraulics, 2023, 51(2): 169-173.

HUANG H, ZHANG Z J, XU B, et al. Monitoring and fault diagnosis of breathing valves in atmospheric storage tank under fuzzy PID[J]. Procedia Computer Science, 2024, 243: 59-66. DOI: 10.1016/j.procs.2024.09.009.

刘宁, 柴天佑. PID控制器参数的优化整定方法[J]. 自动化学报, 2023, 49(11): 2272-2285. DOI: 10.16383/j.aas.c220795.

LIU N, CHAI T Y. An optimal tuning method of PID controller parameters[J]. Acta Automatica Sinica, 2023, 49(11): 2272-2285. DOI: 10.16383/j.aas.c220795.

KUMAR L, MANDAL N P. Pressure control of fixed displacement variable speed radial piston pump using PID controller[J]. Materials Today: Proceedings, 2022, 56: 1840-1846. DOI: 10.1016/j.matpr.2021.11.034.

丁惠忠, 陈凯峰. 基于PLC的啤酒发酵温度模糊PID控制系统[J]. 包装与食品机械, 2022, 40(6): 71-76, 82. DOI: 10.3969/j.issn.1005-1295.2022.06.012.

DING H Z, CHEN K F. Fuzzy PID control system of beer fermentation temperature based on PLC[J]. Packaging and Food Machinery, 2022, 40(6): 71-76, 82. DOI: 10.3969/j.issn.1005-1295.2022.06.012.

丁兆驿, 赵斌, 张晓刚, 等. 流量反馈型电液比例阀的模糊PID控制特性[J]. 机床与液压, 2022, 50(22): 119-124. DOI: 10.3969/j.issn.1001-3881.2022.22.023.

DING Z Y, ZHAO B, ZHANG X G, et al. Fuzzy PID control characteristics of flow feedback type electro-hydraulic proportional valve[J]. Machine Tool & Hydraulics, 2022, 50(22): 119-124. DOI: 10.3969/j.issn.1001-3881.2022.22.023.

吴敏, 翟力欣, 李启跃, 等. 灰色预测与模糊PID的恒温水浴协同温度控制[J]. 中国农机化学报, 2023, 44(11): 123-129, 137. DOI: 10.13733/j.jcam.issn.2095-5553.2023.11.019.

WU M, ZHAI L X, LI Q Y, et al. Collaborative temperature control of constant temperature water bath based on grey prediction and fuzzy PID[J]. Journal of Chinese Agricultural Mechanization, 2023, 44(11): 123-129, 137. DOI: 10.13733/j.jcam.issn.2095-5553.2023.11.019.

陈广庆, 辛金泽, 张磊, 等. 基于串级模糊PID控制的NB-IoT智能保温箱[J]. 现代电子技术, 2024, 47(20): 170-176. DOI: 10.16652/j.issn.1004-373x.2024.20.027.

CHEN G Q, XIN J Z, ZHANG L, et al. NB-IoT intelligent incubator based on cascade fuzzy PID control[J]. Modern Electronics Technique, 2024, 47(20): 170-176. DOI: 10.16652/j.issn.1004-373x.2024.20.027.

刘豫飞, 刘德军. 基于模糊PID技术的复合结构温室系统设计[J]. 农机化研究, 2023, 45(12): 45-49.

LIU Y F, LIU D J. Design of compound structure greenhouse system based on fuzzy PID technology[J]. Journal of Agricultural Mechanization Research, 2023, 45(12): 45-49.

杨洪涛, 金磊, 姜西祥, 等. 基于DBO优化模糊PID的高低温试验箱温度控制方法[J]. 电子测量与仪器学报, 2024, 38(10): 235-243. DOI: 10.13382/j.jemi.B2407536.

YANG H T, JIN L, JIANG X X, et al. Temperature control method of high and low temperature test chamber based on DBO optimization fuzzy PID[J]. Journal of Electronic Measurement and Instrumentation, 2024, 38(10): 235-243. DOI: 10.13382/j.jemi.B2407536.

段玉龙, 许洪振, 刘姣娣, 等. 基于自适应模糊PID算法的蔗种调向装置定位控制[J]. 控制工程, 2025, 32(2): 242-250. DOI: 10.14107/j.cnki.kzgc.20220382.

DUAN Y L, XU H Z, LIU J D, et al. Positioning control of sugarcane seed steering device based on adaptive fuzzy PID algorithm[J]. Control Engineering of China, 2025, 32(2): 242-250. DOI: 10.14107/j.cnki.kzgc.20220382.

杨茂华, 谭飞, 尹宋麟. 基于随机差分进化算法的最优PID参数整定方法[J]. 四川轻化工大学学报(自然科学版), 2022, 35(6): 50-56.

YANG M H, TAN F, YIN S L. Optimal PID parameter tuning method based on stochastic differential evolution algorithm[J]. Journal of Sichuan University of Science & Engineering (Natural Science Edition), 2022, 35(6): 50-56.

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