针对超临界机组给煤量与给水流量响应速度不匹配以及工况变动引发的参数摄动问题,提出将燃料-中间点温度控制系统简化为具有参数不确定性的单输入单输出形式,以便确定参数变动范围.设计了一种针对该参数不确定性系统的分数阶定量反馈控制方案,并引入多重性能指标以优化控制效果.采用改进的多目标粒子群算法来解决控制系统性能优化与迭代效率之间的平衡并提升参数寻优的准确性.仿真结果表明,所提出的分数阶定量反馈控制系统能够显著提升超临界机组水煤比系统的控制性能,保障机组安全稳定运行.
To address the mismatch in response speeds between coal and water feed rates in supercritical units and parameter perturbations caused by operational condition variations, this study simplifies the fuel-intermediate point temperature control system into a single-input-single-output form with parametric uncertainties to determine parameter variation ranges. A fractional-order quantitative feedback control scheme is developed for this uncertain system, incorporating multiple performance metrics to optimize control effectiveness. An enhanced multi-objective particle swarm optimization algorithm is implemented to balance control performance optimization with iteration efficiency while improving parameter search accuracy. Simulation results demonstrate that the proposed fractional order quantitative feedback theory system significantly enhances the water-coal ratio regulation performance and ensures safe and stable unit operation.- DOI:10.3969/j.issn.1000-1565.2025.03.007基于改进的分数阶超临界机组水煤比控制方法仿真李士哲1,杜毅恒1,刘帅2(1.华北电力大学 自动化系,河北 保定 071003;2.华北电力大学 河北省发电过程仿真与优化控制技术创新中心,河北 保定 071003)摘 要:针对超临界机组给煤量与给水流量响应速度不匹配以及工况变动引发的参数摄动问题,提出将燃料-中间点温度控制系统简化为具有参数不确定性的单输入单输出形式,以便确定参数变动范围.设计了一种针对该参数不确定性系统的分数阶定量反馈控制方案,并引入多重性能指标以优化控制效果.采用改进的多目标粒子群算法来解决控制系统性能优化与迭代效率之间的平衡并提升参数寻优的准确性.仿真结果表明,所提出的分数阶定量反馈控制系统能够显著提升超临界机组水煤比系统的控制性能,保障机组安全稳定运行.关键词:超临界机组;水煤比控制系统;分数阶控制;定量反馈理论;多目标粒子群算法中图分类号:TP273 文献标志码:A 文章编号:1000-1565(2025)03-0289-10Simulation of an improved fractional-order supercritical unit water-to-coal ratio control methodLI Shizhe1, DUYiheng1, LIU Shuai2(1. Department of Automation, North China Electric Power University, Baoding 071003, China; 2. Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071003, China)Abstract: To address the mismatch in response speeds between coal and water feed rates in supercritical units and parameter perturbations caused by operational condition variations, this study simplifies the fuel-intermediate point temperature control system into a single-input-single-output form with parametric uncertainties to determine parameter variation ranges. A fractional-order quantitative feedback control scheme is developed for this uncertain system, incorporating multiple performance metrics to optimize control effectiveness. An enhanced multi-objective particle swarm optimization algorithm is implemented to balance control performance optimization with iteration efficiency while improving parameter search accuracy. Simulation results demonstrate that the proposed fractional order quantitative feedback theory system significantly enhances the water-coal ratio regulation performance and ensures safe and stable unit operation.- 收稿日期:2024-11-26;修回日期:2025-03-12 基金项目:国家自然科学基金资助项目(61973117);华北电力大学中央高校基本科研业务项目(9160323007);河北省省级科技计划项目(22567643H);深圳市可持续发展科技专项资助项目(KCXFZ20201221173402007 ) 第一作者:李士哲(1981—),男,华北电力大学副教授,博士,主要从事控制系统的性能评价及诊断、大数据可视化等方向研究. E-mail:lishizhe121@163.com 通信作者:杜毅恒(1998—),男,华北电力大学在读硕士研究生,主要从事分数阶控制方向研究.E-mail:294147137@qq.com 第3期李士哲等:基于改进的分数阶超临界机组水煤比控制方法仿真河北大学学报(自然科学版) 第45卷
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