基于模糊神经网络的异步电机转速估计方法

根据异步电机的数学模型,提出基于模糊神经网络的异步电机转速估计方法。将传统参考自适应系统中原有的自适应调节机构用一个具有在线学习能力的模糊神经网络取代,得出了一种基于模糊神经网络的异步电机转速估计方法,并给出了速度估计器的模糊神经网络结构和学习算法。仿真结果表明,该方法能准确跟踪电机实际转速的变化,具有良好的性能。

Speed Estimation of Asynchronous Motor Based on Fuzzy Neural Network

According to the mathematic model of asynchronous motor,a new method of speed estimation based on the fuzzy neural network was presented. Based on the traditional adaptive system,the fuzzy neural network replaces the original organization.A kind of new method of speed estimation based on the fuzzy neural network,and the structure and learning algorithm of the fuzzy neural network were proposed.The simulation result showed that the new method could accurately track the variation of the motor speed and had good performance.