化工学报2024，Vol.75Issue(3)：924-935,12.DOI:10.11949/0438-1157.20231345
融合激光雷达料位测算的锅炉燃烧优化模型预测控制
LiDAR measurement based on model predictive control for boiler combustion optimization
摘要
Abstract
A data-driven predictive control method with laser radar material level measurement was proposed for the combustion process of a power station boiler.This control strategy uses laser radar to monitor the amount of biomass fed into the furnace online in real time,and uses the maximum mutual information coefficient(MIC)method to analyze its effect on key parameters such as main steam pressure,combustion chamber temperature,and outlet flue gas oxygen content.Combined with the characteristic parameters of distributed control system(DCS)after screening,the model data set was constructed.Based on the model data set,an auto-regressive with extra inputs model optimized by particle swarm optimization algorithm was established.Based on the boiler key parameter model,the proposed control method attempts to minimize the flue gas oxygen content deviation under the constraints of main steam pressure and combustion chamber temperature.Taking 700 t/d biomass combustion power generation boiler as the test object,the experimental results based on the actual production data,as well as the comparative analysis demonstrate:(1)The predictive model can accurately predict the boiler key parameters and meet the demands of boiler combustion process control and optimization;(2)Compared with PID control and fuzzy control,the model predictive control algorithm shows higher control performance,and the average deviation of oxygen content from its set value in the simulation results can be controlled within±25%.The proposed model predictive control method has good practical significance in theory,and can provide reference for the optimization and transformation of biomass boiler combustion in the future.关键词
生物质锅炉/激光雷达/动态建模/模型预测控制/算法Key words
biomass boiler/laser radar/dynamic modeling/model-predictive control/algorithm分类
能源科技引用本文复制引用
董益斌,熊敬超,王敬宇,汪守康,王亚飞,黄群星..融合激光雷达料位测算的锅炉燃烧优化模型预测控制[J].化工学报,2024,75(3):924-935,12.基金项目
浙江大学科研项目(XY2022015) （XY2022015）
