Application of PSO Optimisation Based Fuzzy Controller in Selective Catalytic Reduction Denitrification Technology
The industrial sector often generates a large amount of NOx pollutants,and selective catalytic reduction denitrification is a commonly used technology to reduce pollutant emissions.This technology faces difficulties in parameter selection and poor stability during application,therefore,it is necessary to improve its performance through a fuzzy controller optimized by particle swarm optimization.The results show that the fluctuation of NOx concentration at the outlet of the simulation model is reduced by 30%,the ammonia flow rate is stable,and the control effect is better under steady-state and variable load conditions.The deviation between the set value and the actual value is reduced by 15%.This method can improve denitrification efficiency and maintain system stability.
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