基于滑模模糊神经网络感应电动机矢量控制的研究

Based Sliding Module Fuzzy-Neural Network Vector Control of AC Induction Motor

感应电机矢量控制采用滑模模糊神经网络控制,使系统具有自学习、自调整的能力和强鲁棒性。通过改进模糊神经网络的学习方法,精简了网络的结构,减少了训练的时间,为模糊神经网络用于实时性控制系统提供了可能的条件。

The application of sliding module fuzzy-neural network in induction motor vector control makes control system self-learning, self-modifying and more robust. Through modified the learning way of fuzzy-neural network, simplifying structure of network, reducing time of training and supplying the possibility of time-control.