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

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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

发电技术论坛 | 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
- 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
- 热力发电 2026年55卷第4期页码：166-174
- 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：
  
  国家自然科学基金项目（62373132）~~
- DOI：10.19666/j.rlfd.202509026
  中图分类号： TP18;TM621
- 纸质出版：2026
- 稿件说明：
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[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

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