基于BP网络的柴油机排气消声器结构参数设计  

Design of diesel engine exhaust muffler based on BP network

作　　者：成峰[1] 周宝焜[1] 黄敬党[1] 翁红林[1] 

机构地区：[1]福建农林大学机电工程学院,福建福州350002

出　　处：《福建农林大学学报（自然科学版）》2003年第3期394-397,共4页Journal of Fujian Agriculture and Forestry University:Natural Science Edition

摘　　要：为了克服目前排气消声器常见设计方法中固有的建模假定引起的设计误差,尝试将BP网络应用于排气消声器设计;利用正交试验和排气噪声数字信号处理获得了1/3倍频程声压级和柴油机燃油消耗率作为输入、结构参数作为输出的人工神经网络的学习样本;通过MATLAB中人工神经网络工具箱完成了网络的训练;实例验证了BP网络应用于排气消声器设计是完全可行的;同时,通过训练后网络的具体应用,展示了BP网络在消声器设计方面的优越性.BP network was applied to the design of diesel engine exhaust muffler to reduce the intrinsic error caused by the assumption on which the muffler's acoustic model was based. By means of orthogonal planning and digital signal processing, the learningsamples of artificial neural networks were obtained, which regarded the sound pressure level of 1/3 octavebands and the specific fuel consumption of diesel engine as inputs, the structural parameters of muffler as outputs. Through the artificial neural network toolbox of MATLAB, the training of BP network was finished. The application of BP network to muffler designs was feasible, which had been proved by the practical examples, meanwhile the application of the trainednetwork showed that BP network has many advantages in muffler designs.

关 键 词：BP网络 柴油机 排气消声器 结构设计 参数设计 试验分析法 

分 类 号：TK422[动力工程及工程热物理—动力机械及工程] TP183[自动化与计算机技术—控制理论与控制工程]