褐煤锅炉蒸汽温度模糊控制仿真研究

Simulation on Fuzzy Control of Steam Temperature for a Lignite-Fired Boiler

本文利用GSE软件建立了600 MW超临界褐煤锅炉蒸汽温度模糊PID控制系统的仿真模型,进行了模糊PID控制效果的仿真研究,并与常规PID控制进行了对比。研究结果发现,在抽炉烟份额从100%降至50%的扰动下,模糊控制方案的主汽温的最小值比常规控制高0.21℃,最大值低0.15℃,动态时间缩短了477 s;再热汽温的最小值比常规控制高0.32℃,最大值低0.49℃,动态时间缩短了387 s。模糊控制下的汽温调节的快速性和稳定性均优于常规控制,证明了该模糊控制方案能够改善控制系统的控制质量。仿真实验的结果对电厂汽温控制系统的优化具有一定的参考意义。

In this paper,a Fuzzy-PID model was established for a 600 MW supercritical lignite-fired boiler through GSE software,of which the control effect was tested and compared with conventional PID control.The research result showed that when hot flue gas extracting percent stepped from100%to 50%,the minimum of live steam temperature of Fuzzy-PID strategy was higher by 0.21℃than conventional PID strategy,while the maximum of which was lower by 0.15℃,and the time of dynamic response reduced by 477 s;Under the same condition,the minimum of reheat outlet steam temperature of Fuzzy-PID strategy was higher by 0.32℃ than conventional PID strategy,while the maximum of which was lower by 0.49℃,and the time of dynamic response reduced by 387 s.It turned out that rapidity and stability of steam temperature adjustment under Fuzzy-PID control was better than conventional PID control,proving that this Fuzzy-PID strategy could improve the quality of common-used control system.The consequence had certain significance on power plant steam temperature control system optimization.