遗传算法和神经网络融合型最优控制器及其在铣削加工参数控制中的应用

An Optimization Controller in Milling Compacting Genetic Algorithm with Neural Networks

本文提出了一种改进的高效率遗传算法，并将它与神经网络相结合形成最优控制器，其中神经网络实现对过程的在线辨识，遗传算法根据辨识结果得出最优输入以实现最优控制，并将此最优控制器用于铁削加工过程的在线建模和实时最优控制．最后给出了仿真和实验结果，证实了该最优控制器的有效性．

An optimization controller in milling is proposed in this paper The neural network for modeling is used to leamthe appropriate mapping between the input and output variables of the machining process.The genetic algorithm is used to determine the optimal inputs The results of simulation and experiments are also given.