SCR脱硝系统的反演积分滑模控制方法研究

Research on Integral Inversion Sliding Mode Control of SCR Denitration System

由于选择性催化还原(selective catalytic reduction,SCR)脱硝系统具有大惯性、非线性以及不确定性的特点,使得常规PID控制方案不能较好地实现SCR脱硝系统的控制。为此,该文提出将基于反演算法的积分滑模控制方案应用于SCR脱硝控制系统的内回路中,同时采用果蝇算法改进的粒子群寻优算法获得反演积分滑模控制器的最优参数。在不同机组负荷情况下的设定值跟踪和抗干扰实验表明,所提控制方案的控制效果优于常规PID控制及积分滑模控制。由蒙特卡洛仿真结果可知:相比于常规串级控制结构,基于反演积分滑模控制的SCR脱硝控制响应速度更快、抗干扰能力更强、鲁棒性更好,且具有很好的动态性能与稳态性能。

The selective catalytic reduction(SCR)denitrification system is characterized by large inertia,nonlinearity and uncertainty,which makes the conventional PID control scheme unable to achieve better control of SCR denitration system.To this end,the paper proposes to apply the inverse algorithm-based integral sliding mode control scheme to the internal loop of the SCR denitration control system,while the optimal parameters of the inverse integral sliding mode controller are obtained using a particle swarm optimization search algorithm modified by the fruit fly algorithm.The setpoint tracking and anti-interference experiments under different unit loads show that the control effect of the proposed control scheme is better than conventional PID control and integral sliding mode control.Meanwhile,Monte Carlo simulation results show that compared with the conventional cascade control structure,the SCR denitration control based on inverse integral sliding mode control has faster response speed,stronger anti-interference ability,better robustness,and better dynamic and steady performance.