摘要
为提升柴油机选择性催化还原(简称SCR)装置在瞬态工况运行时的排放控制品质,本文针对SCR装置设计了一种非线性自抗扰控制系统并基于改进粒子群算法对非线性反馈增益开展了寻优工作。研究结果表明,与前期的非线性反馈增益相比,经改进算法整定后的非线性反馈增益提升了控制系统的鲁棒性,而且经整定后的非线性反馈增益可使得NOx排放控制的准确度提升1.5%,可使过渡过程时间缩短11%。
In order to improve the emission control quality of diesel engine selective catalytic reduction(SCR)unit under transient operating conditions,a nonlinear active disturbance rejection control system was designed for SCR unit and optimization of nonlinear feedback gain was carried out based on improved particle swarm optimization algorithm.The results show that compared with the previous nonlinear feedback gain,the nonlinear feedback gain adjusted by the improved algorithm improves the robustness of the control system,and the calibrated nonlinear feedback gain can increase the accuracy of NOx emission control by 1.5%and shorten the transition process time by 11%.
作者
黎洪亮
金华标
刘丙善
LI Hong-liang;JIN Hua-biao;LIU Bing-shan(School of Naval Architecture,Ocean and Energy Power Engineering,Wuhan University of Technology,Wuhan 430063,China)
出处
《舰船科学技术》
北大核心
2024年第3期131-136,共6页
Ship Science and Technology
基金
工信部等技术船舶项目(20191g0100)。
关键词
柴油机
选择性催化还原
自抗扰控制
粒子群算法
diesel engine
selective catalytic reduction
active disturbance rejection control
particle swarm optimization
作者简介
黎洪亮(1998-),男,硕士研究生,研究方向为轮机自动化。
