摘要
针对燃煤锅炉实际运行工况,建立了锅炉燃烧系统的受控自回归积分滑动平均(CARIMA)模型,并对该模型设计了模糊预测控制器,根据广义预测控制(GPC)的自校正多步预测和反馈校正等特点,将模糊控制作为广义预测控制的校正调节;将锅炉燃烧控制系统划分为燃料量、送风量、炉膛压力3个控制子系统,采用模糊PID控制器对各控制子系统进行了优化。结果表明,优化后的燃料量控制系统在保证控制精度的基础上,使系统响应较平稳,跟踪速度更快;优化后的送风量和炉膛压力控制系统调节时间短,超调量和稳态误差均为0,且具有很强的抗干扰能力。
On the basis of actual operation conditions of coal-fired boilers,a controlled auto-regressive integrated moving average(CARIMA)model for boiler's combustion system was deduced.Moreover,the fuzzy predictive controller for this model was designed.According to the features of self-tuning multistep prediction and feedback compensation of the generalized predictive control,and regarding the fuzzy control as the correction regulation,the boiler combustion control system was divided into three subsystems,such as the fuel control system,air flow control system,and furnace pressure control system.Finally,the fuzzy PID controller was employed to optimize each control subsystem.The simulation results showed that,after the optimization,the fuel control system had a stable response and a faster tracking speed,on the premise of ensuring the control precision;the air flow control system and the furnace pressure control system,which had a short adjusting time,and both the overshoot and steady state error were zero,had a strong anti-interference ability.
出处
《热力发电》
CAS
北大核心
2013年第9期100-104,共5页
Thermal Power Generation
