关键词: Takagi-Sugeno型模糊推理, 隶属度函数, 模糊神经网络, 鲁棒性, 泛化能力

Abstract:

A modeling method of fuzzy neural network based on neural fuzzy control theory was applied in thermal error  modeling of NC machine tool and the structure and modeling principle of fuzzy neural network on thermal errors was discussed. The experiment on spindle head of large NC gantry guide grinder was conducted and two independent sets of  experimental data were obtained by measuring the temperature of spindle head and the thermal error of spindle with non-contact infrared thermometer and dial gauge, one was used to establish thermal error fuzzy neural network prediction model of  spindle head  and the other was used to validate the model. The test results show that fuzzy neural network model has high prediction accuracy and good generalization. Compared with radial basis gunction(RBF) neural network modeling method, fuzzy neural network modeling method has better modeling efficiency, robustness and predict performance.

Key words: Takagi-Sugeno type fuzzy inference, membership function, fuzzy neural network, robustness, generalization ability