自适应模糊PID在SNCR烟气脱硝系统中的仿真与应用

针对当前在选择性非催化还原反应(SNCR)烟气脱硝工艺应用中喷氨量的控制问题,通常采用传统PID控制方式。控制系统的时效滞后或负荷的波动等,使得SNCR脱硝系统存在惯性滞后,因此提出一种喷氨量自适应模糊PID控制策略,通过对输出误差在线实时检测,再根据模糊推理对PID控制器的3个参数进行在线纠正,得到最佳控制参数。将自适应模糊PID控制与常规PID控制进行仿真比较,结果表明前者控制效果优于后者。该策略既具有传统PID控制策略的特点,而且还有模糊策略超调量小、调节迅速的优点,从而实现喷氨量的实时准确控制。

SIMULATION AND APPLICATION OF FUZZY ADAPTIVE PID CONTROLLER IN THE FLUE GAS DENITRIFICATION SYSTEM BY SNCR

Owing to the problem of ammonia spraying control in flue gas denitrification process of selective non catalytic reaction (SNCR),the traditional PID cascade control method is usually adopted.Due to the lag of time or load fluctuation in control system,the SNCR denitrification system has a inertia lag.In this paper,a fuzzy adaptive PID control strategy to ammonia amount is proposed.Through on-line real-time detection of output error,correcting the three parameters of PID controller on line based on fuzzy inference,the best control parameters are acquired.By comparing the fuzzy adaptive PID controller with the conventional PID controller in simulation,the results show that the control effect of the former is better than the latter.The strategy not only has the advantages of the conventional PID in closed-loop control system,but also has the characteristics of little exceeds,regulating quickly,so as to achievethe real-time and accurate control of the ammonia injection quantity.