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Vol. 161, Issue 12, December 2013, pp. 219-224

 

Bullet

 

Low Pass Filtering Based Artificial Neural Network Stator Flux Estimator for AC Induction Motors
 
1, 2 Yuhan Ding, 1 Shaoqing Zhou, 1 Congli Mei, 1 Hui Jiang

1 Jiangsu University, Zhenjiang, 212013, China

2 Key Laboratory of Measurement and Control of CSE (School of Automation, Southeast University), Ministry of Education, Nanjing, China
E-mail: yhding@ujs.edu.cn, zsqlove2008@hotmail.com

 

Received: 18 September 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems

 

Abstract: A novel artificial neutral network stator flux estimator based on low pass filter for induction motors is proposed in this paper. Firstly, low pass filter is used to extract the features of the stator voltage. Then, the feature signals are selected as inputs of an artificial neutral network regression model to estimate stator flux. The combination stator flux estimation algorithm with low pass filter and artificial neutral network reduces the interference induced by high frequency signals and has fine dynamic performance. Simulations show high performance of the proposed stator flux estimator under different torques.

 

Keywords: Induction motor, Direct torque control, Stator flux estimation, Artificial neutral network, Low pass filter.

 

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