加工过程中基于最大熵的神经网络控制

Maximum-entropy based neural network control of machining process

切削过程恒力控制对于提高生产率、保证加工精度至关重要 ,本文将信息理论与神经网络理论相结合 ,提出了恒力切削过程中基于最大熵的神经网络控制 ,与自适应神经网络控制相比 ,具有收敛快 。

It is important of constant force control in cutting process for improving productivity and ensuring precision. The information theory and neural network theory are combined in this paper to propose maximum-entropy based neural network control of constant force in cutting process. The proposed control is of faster convergence and less vibration comparing with self-adaptive neural network control.