Title :
Estimation of induction motor speed based on artificial neural networks inversion system
Author :
Liu, Guohai ; Hu, Zijian ; Shen, Yue ; Zhou, Huawei ; Teng, Chenlong
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhejiang
Abstract :
As rotation speed is necessary for high-performance induction motor control, how to estimate the speed quickly and accurately is concerned by most scholars. On the analysis of theoretic invertibility of the induction motorpsilas mathematic model, a speed estimation based on neural networks inversion is proposed. The structure of multi-layer feed-forward neural network (MFNN) is trained by advanced backpropagation arithmetic. Also the achievement method and experiment results were given. The results show that the responses based on ANN inversion method can track the rotation speed quickly and accurately. The method proposed is effective in application.
Keywords :
angular velocity control; backpropagation; electric machine analysis computing; induction motors; mathematical analysis; matrix algebra; neural nets; artificial neural networks; backpropagation arithmetic; induction motor speed estimation; mathematic model; multilayer feed-forward neural network; Arithmetic; Artificial neural networks; Backpropagation; Feedforward neural networks; Feedforward systems; Induction motors; Mathematical model; Mathematics; Multi-layer neural network; Neural networks; Induction motor; Inverse System; Neural Networks; Speed Estimation;
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
DOI :
10.1109/ICNNSP.2008.4590306
