基于前馈有约束DMC的锅炉烟气脱硝控制系统设计  

Design of flue gas denitration control system based on feedforward constrained dynamic matrix control

作　　者：马平[1] 王凯宸 梁薇[1] 

机构地区：[1]华北电力大学自动化系,河北保定071003 [2]福建省电力勘测设计院,福建福州350003

出　　处：《热力发电》2017年第11期73-79,共7页Thermal Power Generation

摘　　要：针对固定摩尔比脱硝控制策略动态过程控制效果差和鲁棒性差的问题,提出了采用动态矩阵预测控制(DMC)算法与前馈控制结构相结合的方法优化该脱硝控制策略。同时,为了提高DMC算法的运算效率,采用集结策略设计动态矩阵预测控制简化算法,并采用粒子群算法进行控制量约束的设计,将预测算法的输出限制在有实际意义的范围内。最后,将优化后的脱硝控制算法应用到电厂锅炉烟气脱硝控制系统中。实践结果表明,优化后的脱硝控制系统响应速度快、鲁棒性强、抗干扰性强,控制效果显著提升。The constant mole ratio denitration control strategy has poor dynamic process control effect and robustness. To optimize the denitration control strategy, the scheme of dynamic matrix predictive control （DMC） combined with feedforward control structure is proposed. Moreover, in order to improve the operation efficiency of the DMC algorithm, the aggregation algorithm is put forward to design the simplified algorithm for the dynamic matrix predictive control. In addition, the particle swarm optimization algorithm is used to design the constraint of control quantity, which can limit the output of the prediction algorithm in a practical range. Finally, the improved denitration control algorithm is applied to flue gas denitration control system in a power plant. The practical results show that, the improved denitration control system has the advantages of quick response, strong robustness and anti-interference, and the control effect is improved significantly.

关 键 词：烟气脱硝 脱硝控制 动态矩阵控制 有约束预测控制 粒子群算法 算法简化 固定摩尔比控制 

分 类 号：TP273.5[自动化与计算机技术—检测技术与自动化装置]