According to a set of test data of Servo Control Systems, the paper has made system identifications of positive and inverse model based on neural net works, and analyses identification result and puts forward possible scheme to realize High Speed and High
According to a set of test data of Servo Control Systems, the paper has made system identifications of positive and inverse model based on neural net works, and analyses identification result and puts forward possible scheme to realize High Speed and High
摘要根据一组伺服驱动系统的辨识试验数据，进行了基于神经网络的非线性系统的正模型与逆模型辨识，分析了辨识结果，给出基于神经网络模型的内模控制方案，并提出了实现高速高精运动的可能方式。