CAJ | 학술논문

针对预混合双阀控制的煤层气发动机,利用引入动态环节的递归线性神经网络,基于台架实验所获得的数据建立煤层气发动机空燃比动态过程的输入/输出模型.以均方差为评价指标确定模型输入、输出的阶次,用非建模数据对训练后的模型进行验证.结果表明,模型准确复现了不同工况下空气和燃气质量流量与排气空燃比的动态特性.
침대예혼합쌍벌공제적매층기발동궤,이용인입동태배절적체귀선성신경망락,기우태가실험소획득적수거건립매층기발동궤공연비동태과정적수입/수출모형.이균방차위평개지표학정모형수입、수출적계차,용비건모수거대훈련후적모형진행험증.결과표명,모형준학복현료불동공황하공기화연기질량류량여배기공연비적동태특성.
Aimed at a pre-mixed coal-bed gas engine with double valves control system, based on the experimental data gained on the engine test-bed, a dynamic input/output model for the coal-bed gas engine air fuel ratio control was built using the recursion linear neural networks with introduced dynamic loop. The input/output model orders were determined by mean square errors (MSE) as evaluating index, and the trained model was verified using non-modeling data. The results show that the model reproduces accurately dynamic characteristic between the mass air flow and the mass fuel gas flow and exhaust air fuel ratio in different operating conditions.