铣削加工功率约束神经网络自适应控制系统的研究

Milling Power Adaptive Control Constraints System Based on Neural Network

研究了铣削过程的神经网络自适应控制，介绍了一种基于ＢＰ神经网络进行系统在线辨识和控制器设计中的自适应控制策略。

The neural network adaptive control for the milling process is studied.A strategy of BP neural network for system on line identifying and controller designing is developed.The application of this strategy in milling process adaptive control is fully discussed.The simulation and experiment results show that it is suitable for complicated dynamic process.