论文部分内容阅读
分析了振动频率、振幅和插入速度等对土壤振动掘削阻力的影响,并以振动频率、振幅和插入速度等特征参数作为二次变量,采用清晰集构造模糊集方法对土壤振动掘削阻力软测量模型特征参数进行模糊化,利用新模糊化神经网络建立了土壤振动掘削阻力软测量模型。土壤振动切削力软测量实际应用结果表明,土壤振动掘削阻力软测量值的建模精度和泛化能力是很高的,所得的最大训练相对误差约为0.67%,最小测试相对误差约为-0.4%。
The influence of vibration frequency, amplitude and insertion velocity on the resistance of soil vibration digging resistance was analyzed. The parameters of vibration frequency, amplitude and insertion velocity were taken as the secondary variables. The characteristic parameters are fuzzified, and the soft sensing model of soil vibration digging resistance is established by the new fuzzy neural network. The practical application results of soft measurement of soil vibration cutting force show that the modeling precision and generalization ability of soft vibration measurement value of soil vibration are very high, the maximum relative error of training is about 0.67% and the relative error of minimum test is about -0.4 %.