兵工自动化2026，Vol.45Issue(4)：58-61,71,5.DOI:10.7690/bgzdh.2026.04.012
改进遗传算法在火电厂主汽温控制系统中的研究
Research on Improved Genetic Algorithm in Main Steam Temperature Control System of Thermal Power Plant
摘要
Abstract
In view of the complex characteristics of the main steam temperature loop in thermal power plants,such as large inertia,large delay,nonlinearity and time-varying,and the difficulty of PID self-tuning,a parallel two-degree-of-freedom PID control method based on improved genetic algorithm(GA)is proposed.The parameters of the parallel two-degree-of-freedom PID controller are optimized by using the improved genetic algorithm,and it is used in the main steam temperature control system.The simulation results show that compared with other methods,the proposed method has better control effect,fast response,short adjustment time,small overshoot and good robustness,which can meet the field control requirements of main steam temperature control system in thermal power plant.关键词
主汽温/PID/遗传算法/二自由度/超调量/鲁棒性Key words
main steam temperature/PID/genetic algorithm/two-degree-of-freedom/overshoot/robustness分类
信息技术与安全科学引用本文复制引用
吴延凯,魏宏飞..改进遗传算法在火电厂主汽温控制系统中的研究[J].兵工自动化,2026,45(4):58-61,71,5.基金项目
河南省科技攻关项目(242102111191) （242102111191）
南阳市科技攻关项目(23KJGG073) （23KJGG073）
