CAJ | 학술논문

针对循环系统回料量对循环流化床锅炉床温的影响，采用补偿模糊神经网络的建模方法，建立灰循环系统回料控制模型，选取锅炉床温变化及变化率作为输入、回料风量作为输出进行了仿真研究，并与常规控制进行比较．结果表明：补偿模糊神经网络控制器对参数变化的适应性明显优于常规控制器，补偿模糊神经网络方法对灰循环系统控制优化有实际意义．
침대순배계통회료량대순배류화상과로상온적영향，채용보상모호신경망락적건모방법，건립회순배계통회료공제모형，선취과로상온변화급변화솔작위수입、회료풍량작위수출진행료방진연구，병여상규공제진행비교．결과표명：보상모호신경망락공제기대삼수변화적괄응성명현우우상규공제기，보상모호신경망락방법대회순배계통공제우화유실제의의．
To study the influence of the amount of return materials on bed temperature of related CFB boiler, a control model has been established for the return materials in ash recycling system based on compensatory fuzzy neural network （CFNN）, with which a simulation study has been carried out by taking the temperature change and temperature variation rate as the input variables, and the return air flow as output variable. Comparison resuhs between CFNN controller and coventional controller show that the adaptability of the former one to parameter change is obviously stronger than the latter one, which therefore may serve as a reference for control optimization of ash recyling systems.