基于模糊PI控制的甲醇催化燃烧系统温度控制策略

Temperature Control Strategy of Methanol Catalytic Combustion System Based on Fuzzy PI Control

为改善甲醇催化燃烧系统中由于温冲效应导致重整室温度达到稳态时间的滞后问题,运用模糊算法对传统的PI控制器进行优化,根据先验知识实时调整P、I参数,并通过Matlab软件仿真计算和设计实验对2种控制策略性能进行比较。仿真计算和实验结果均表明:在升温快速响应阶段,模糊PI控制器较传统PI控制器响应时间更短、速度更快;在稳定阶段,相较传统PI控制器,模糊PI控制器产生的超调量更小,且能更快使系统温度达到稳定状态。由此可见,模糊PI算法能有效提升系统快速性和稳定性,一定程度改善系统滞后的缺点。

In order to improve the lag problem in the methanol catalytic combustion system that the temperature of the reforming chamber reaches the steady state due to the temperature shock effect,the fuzzy algorithm is used to optimize the traditional PI controller,and the P and I parameters are adjusted in real time based on prior knowledge,and the Matlab is passed software simulation calculation and design experiment compare the performance of the two control strategies.The simulation calculation and experiment results show that:in the rapid response stage of heating,the fuzzy PI controller has shorter response time and faster speed than the traditional PI controller;in the stable stage,compared with the traditional PI controller,the fuzzy PI controller produces more overshoot.Small,and can make the system temperature reach a steady state faster.It shows that the fuzzy PI algorithm can effectively improve the speed and stability of the system,and also improve system lag to a certain extent.