基于改进粒子群算法的间接空冷系统广义预测控制参数优化

董子健; 高洋; 冉宁

doi:10.19666/j.rlfd.202509026

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

基于改进粒子群算法的间接空冷系统广义预测控制参数优化

更新时间：2026-06-12

- 基于改进粒子群算法的间接空冷系统广义预测控制参数优化
- Thermal Power Generation Vol. 55, Issue 4, Pages: 166-174(2026)
- 作者机构：
  
  1. 华北电力大学控制与计算机工程学院
  2. 河北大学电子信息与工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202509026
  CLC： TP18;TM621
- Published：2026
- 稿件说明：
移动端阅览
[1]董子健,高洋,冉宁.基于改进粒子群算法的间接空冷系统广义预测控制参数优化[J].热力发电,2026,55(04):166-174.
[1]董子健,高洋,冉宁.基于改进粒子群算法的间接空冷系统广义预测控制参数优化[J].热力发电,2026,55(04):166-174. DOI： 10.19666/j.rlfd.202509026.

DOI：10.19666/j.rlfd.202509026.

摘要

针对间接空冷系统在外界因素扰动下控制性能不佳的问题，同时传统PID控制难以满足大滞后、强耦合、非线性系统的控制需求，而广义预测控制（generalized predictive control

GPC）虽具有良好的控制效果但参数调节困难，提出一种基于改进粒子群算法的GPC参数整定方法。建立了间接空冷系统的传递函数模型和环境风速扰动模型，构建了以循环水出水温度为被控量的GPC控制器。针对传统粒子群算法易陷入局部最优和收敛精度不高的问题，设计了融合差分进化算法和速度暂停机制的DE-VPPSO混合优化算法，采用双种群协同搜索策略增强算法的搜索能力和收敛精度。利用DE-VPPSO算法同时优化GPC的预测时域、控制时域、控制权重和柔化因子4个关键参数，综合仿真结果表明，在连续阶跃扰动工况下、环境风速扰动下、模型参数失配、随机噪声干扰条件下和综合工况下，所提方法均表现出优异的控制性能和鲁棒性。

Abstract

To address poor control performance of indirect air cooling systems under external disturbances

where conventional PID control fails to meet requirements of large time-delay

strong coupling

and nonlinear systems while generalized predictive control(GPC) offers superior performance but suffers from parameter tuning difficulties

an improved PSO-based GPC parameter tuning method is proposed. Transfer function and environmental wind speed disturbance models are established with a GPC controller using circulating water outlet temperature as the controlled variable. Targeting limitations of conventional PSO prone to local optima and low convergence accuracy

a DE-VPPSO hybrid algorithm combining differential evolution and velocity pausing mechanisms is designed

employing dual-population collaborative search to enhance search capability and convergence precision. The algorithm simultaneously optimizes four key GPC parameters: prediction horizon

control horizon

control weighting

and softening factor. Simulation results demonstrate that under step disturbances

wind speed disturbances

parameter mismatches

noise interference

and comprehensive operating conditions

the proposed method exhibits excellent control performance and robustness

effectively enhancing system performance.

关键词

Keywords

references

黄任.间接空冷系统温控方案设计及优化研究[D].哈尔滨:哈尔滨工程大学, 2021:1.HUANG Ren, Design and optimization of temperature control scheme for indirect air cooling system[D]. Harbin:Harbin Engineering University, 2021:1.

赵鑫,杨珍帅,范烨,等.环境参数影响下的火电机组空冷系统流动换热特性研究[J].昆明理工大学学报(自然科学版), 2025, 50(3):115-126.ZHAO Xin, YANG Zhenshuai, FAN Ye, et al. Flow heat transfer characteristics of air-cooling systems for thermal power units under the influence of ambient parameters[J].Journal of Kunming University of Science and Technology(Natural Science), 2025, 50(3):115-126.

林闽城,华敏,王林林,等.不同环境风速下间接空冷塔性能的模拟分析[J].电站系统工程, 2020, 36(6):5-7.LIN Mincheng, HUA Min, WANG Linlin, et al.Simulation analysis of indirect air cooling tower performance under different environmental wind speed[J].Power System Engineering, 2020, 36(6):5-7.

张薇,杜小泽,杨立军,等.间接空冷散热器和空冷塔的流动传热特性研究[J].山东农业大学学报(自然科学版), 2016, 47(2):296-298.ZHANG Wei, DU Xiaoze, YANG Lijun, et al. Study on heat-flow conduction characteristics of indirect air-cooled radiator and cooling tower[J]. Journal of Shandong Agricultural University(Natural Science Edition), 2016,47(2):296-298.

周媛奉,陈宽文,胡婷婷,等.非线性时滞系统双阶段神经网络的改进广义预测控制[J].控制工程, 2024,31(3):567-576.ZHOU Yuanfeng, CHEN Kuanwen, HU Tingting, et al.Improved generalized predictive control based on twostage neural network for nonlinear time-delay system[J].Control Engineering of China, 2024, 31(3):567-576.

郑阳,陈启卷,刘宛莹,等.基于多变量约束GPC的负荷频率控制[J].控制工程, 2022, 29(12):2204-2212.ZHENG Yang, CHEN Qijuan, LIU Wanying, et al. Load frequency control based on multivariable constrained generalized predictive control[J]. Control Engineering of China, 2022, 29(12):2204-2212.

杨辉,王颖,陆荣秀,等.稀土萃取过程PI型广义预测控制[J].控制工程, 2021, 28(7):1273-1280.YANG Hui, WANG Ying, LU Rongxiu, et al. Generalized predictive control with PI structure for rare earth extraction process[J]. Control Engineering of China,2021, 28(7):1273-1280.

贺宁,马凯,傅山,等. FDI攻击下自触发预测控制安全策略研究[J].控制工程, 2022, 29(6):988-995.HE Ning, MA Kai, FU Shan, et al. Research on security strategy of self-triggered predictive control under FDI attack[J]. Control Engineering of China, 2022, 29(6):988-995.

于蒙,邹志云,朱文超,等.基于神经网络逆模型的广义预测控制及应用[J].控制工程, 2021, 28(9):1747-1753.YU Meng, ZOU Zhiyun, ZHU Wenchao, et al.Generalized predictive control based on neural network inverse model and its application[J]. Control Engineering of China, 2021, 28(9):1747-1753.

杨湘,程明.基于粒子群算法进行参数自我调整的广义预测控制算法在汽包液位控制中的应用[J].计算机测量与控制, 2014, 22(9):2937-2940.YANG Xiang, CHENG Ming. Generalized predictive control based on PSO and its application in drum water level control[J]. Computer Measurement and Control,2014, 22(9):2937-2940.

张文彬.基于改进蚁狮算法的广义预测控制对T-S模糊模型的控制研究[J].现代计算机, 2020(1):12-15.ZHANG Wenbin. Research on control of T-S fuzzy model based on generalized predictive control with improved antlion optimizer[J]. Modern Computer, 2020(1):12-15.

张悦,何同祥.基于蚁群算法的改进广义预测控制及参数优化[J].仪器仪表用户, 2021, 28(9):27-29.ZHANG Yue, HE Tongxiang. Improved generalized predictive control and parameter optimization based on ant colony algorithm[J]. Instrumentation Customer, 2021,28(9):27-29.

KENNEDY J, EBERHART R. Particle swarm optimization[C]//ICNN'95-International Conference on Neural Networks. Perth, WA, Australia:IEEE, 1995:1942-1948.

许文俊,王锡淮.基于变尺度黑洞和种群迁徙的粒子群优化算法[J].计算机工程与科学, 2023, 45(11):2036-2046.XU Wenjun, WANG Xihuai. A particle swarm optimization algorithm based on variable-scale black hole and population migration[J]. Computer Engineering&Science, 2023, 45(11):2036-2046.

陈攀,孙鉴,吴隹伟,等.基于改进粒子群的云计算任务调度算法[J].科学技术与工程, 2025, 25(12):5045-5057.CHEN Pan, SUN Jian, WU Zhuiwei, et al. Cloud computing task scheduling algorithm based on improved particle swarm optimization[J]. Science Technology and Engineering, 2025, 25(12):5045-5057.

武晓雯,郭孟营,胡阿建,等.基于改进遗传粒子群算法的无人机路径规划[J].仪器仪表学报, 2025, 46(4):315-325.WU Xiaowen, GUO Mengying, HU Ajian, et al. Path planning for UAV based on improved hybrid genetic particle swarm algorithm[J]. Chinese Journal of Scientific Instrument, 2025, 46(4):315-325.

孔明,张琳,张龙龙.基于改进粒子群算法的PID参数优化方法研究[J].计算技术与自动化, 2025, 44(2):38-43.KONG Ming, ZHANG Lin, ZHANG Longlong. Study on PID parameter optimization method based on improved particle swarm optimization algorithm[J]. Computing Technology and Automation, 2025, 44(2):38-43.

黄训爱,杨光永,樊康生,等.基于改进粒子群算法的PID控制参数优化[J].组合机床与自动化加工技术,2024(2):89-92.HUANG Xunai, YANG Guangyong, FAN Kangsheng,et al. Optimization of PID control parameters based on improved particle swarm algorithm[J]. Modular Machine Tool&Automatic Manufacturing Technique, 2024(2):89-92.

曹琦,程雷平,徐成,等.求解全局优化问题的SCAVPPSO算法及其应用[J].计算机技术与发展, 2024,34(9):182-187.CAO Qi, CHENG Leiping, XU Cheng, et al. A novel SCA-VPPSO algorithm for global optimization problems and its engineering application[J]. Computer Technology and Development, 2024, 34(9):182-187.

梁伟平,薛文雅,孙赫宇.基于GPC模糊增益调度的直接空冷背压控制优化[J].电力科学与工程, 2021,37(10):55-63.LIANG Weiping, XUE Wenya, SUN Heyu. Optimization direct air-cooled backpressure control based on GPC fuzzy gain scheduling[J]. Electric Power Science and Engineering, 2021, 37(10):55-63.

平玉环,李宗耀.基于粒子群算法的SCR烟气脱硝系统模型辨识[J].热力发电, 2020, 49(12):128-134.PING Yuhuan, LI Zongyao. Model identification of SCR flue gas denitrification system based on particle swarm optimization algorithm[J]. Thermal Power Generation,2020, 49(12):128-134.

任岐. 300 MW直接空冷机组背压设定值动态给定及背压控制策略优化[D].太原:山西大学, 2020:1.REN Qi. Dynamic setting of back pressure setting value and optimization of back pressure control strategy for300 MW direct air-cooling unit[D]. Taiyuan:Shanxi University, 2020:1.

白建云,任岐,雷秀军,等.基于GPC的直接空冷机组背压控制优化研究[J].工业仪表与自动化装置,2020(6):105-109.BAI Jianyun, REN Qi, LEI Xiujun, et al. Research on optimization of back pressure control of direct air-cooling unit based on GPC[J]. Industrial Instrumentation&Automation, 2020(6):105-109.

康卫东,李高潮,王子豪,等.基于环境风温-冷却水温耦合计算的间接空冷塔冬季运行及防冻研究[J].华东理工大学学报(自然科学版), 2023, 49(4):474-480.KANG Weidong, LI Gaochao, WANG Zihao, et al. Winter operation and anti-freezing research of indirect air cooling tower based on coupling calculation between ambient wind temperature and cooling water temperature[J].Journal of East China University of Science and Technology, 2023, 49(4):474-480.

李昊,许媛媛,陶邦林,等.基于区间约束GPC的船舶SCR脱硝系统多工况控制[J].船舶工程, 2023,45(2):90-98.LI Hao, XU Yuanyuan, TAO Banglin, et al. Multi-mode control of ship SCR denitration system based on interval constrained GPC[J]. Ship Engineering, 2023, 45(2):90-98.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

工业园区循环流化床锅炉低热值煤掺烧优化

Application of generalized predictive control algorithm in selective non-catalytic reduction flue gas denitrification system

Configuration optimization for a large-scale dry-cooling tower

Structural description and design optimization for integrated energy service system

Influence of constraints on optimal price of blending coal: by particle swarm optimization algorithm

Related Author

董智鑫

邓拓宇

YIN Jiang

BAI Jianyun

LAI Changsheng

YANG Yongping

YANG Lijun

DU Xiaoze

Related Institution

新能源电力系统全国重点实验室(华北电力大学)

Department of Automation, Shanxi University

Key Laboratory of Power Station Equipment Status Monitoring and Control, Ministry of Education, North China Electric Power University

State Grid Jiaxing Power Supply Company

School of Energy and Mechanical Engineering, Shanghai Electric Power University

AI问答

⁰