神经网络和模糊逻辑在农业机械制造中的应用

The Application of the Dynamicnn and Fuzzy Logic Makes in the Farm Machinery Manufacturing Technique

农业机械制造技术与一般机械制造技术相比,具有特殊性。如今大多数农机企业的技术跟不上先进机械制造技术的发展,农业机械制造技术比较落后。为此,将动态神经网络和模糊逻辑技术应用在农业机械加工制造中,能够很好地预测和控制工件的尺寸与形状,大大提高了加工精度。为此,以农业机械的轴类零件为例,建立了纵向磨削的Elman动态神经网络尺寸预测模型,采用论域自调整策略和模糊自适应控制理论,建立了纵向磨削的自适应控制模型,选择工作台的进给速度作为控制变量。仿真和实验结果表明,所建立的神经网络尺寸预测模型和模糊自适应控制模型是正确的。

The farm machinery manufacturing technique compare with general machinery manufacturing technique, has special. Most farm machinery enterprises can not keep up with an advanced technical development of the machine manufacturing now, the farm machinery manufacturing technique relatively falls behind. Applies DYNAMIC NN and FUZZY LOGIC to the farm machinery manufacturing technique, can predict nicely the size and the shape of the work piece with control, and raised to process accuracy consumedly. The paper takes the axletree parts of farm machinery as an example, a size intelligent prediction control model based on the dynamic Elman neural network is constructed. The strategy of self- adapt universe of discourse is introduced to the fuzzy control model, which can self - adapt and adjust the universe of dis- course in the fuzzy control. Simulation and experiment verify that the developed prediction control model is feasible and has high prediction and control precision.