Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (18): 233-238.

### Modeling method of induction motor stator resistance identification based on Fuzzy Neural Network

LIU Guorong1，2, ZHONG Tinghuan1

1. 1.The College of Information Engineering, Xiangtan University, Xiangtan, Hunan 411105, China
2.Hunan Institute of Engineering, Xiangtan, Hunan 411101, China
• Online:2015-09-15 Published:2015-10-13

### 一种基于FNN的感应电机定子电阻辨识建模方法

1. 1.湘潭大学 信息工程学院，湖南 湘潭 411105
2.湖南工程学院，湖南 湘潭 411101

Abstract: The key problem of direct torque control technology is how to acquire the stator flux linkage accurately when the stator resistance is uncertain. In this paper, taking the method of rotor flux orientation, and deducing the expression of slip, this expression contains the information of the stator resistance. As the stator resistance is changing, the slip of the calculation and the actual slip is not equal. The fuzzy neural network is constructed based on this idea, and the gradient descent method is used to train network parameters. It implements the online identification of the stator resistance. For the mentioned methods in this paper, a simulation is done in matlab/simulink. The results are that this method can accurately and quickly follow the change of the stator resistance under the condition of the stator resistance interference. Therefore, it realizes stator resistance real-time adjustment and improves motor’s low speed performance.