Title :
New Method of Position Estimation for Self-Sensing Active Magnetic Bearings Based on Artificial Neural Network
Author :
Tang, Ming ; Zhu, Changsheng
Author_Institution :
Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China
Abstract :
Artificial neural network (ANN) - as general tools for implementing nonlinear mapping between inputs and outputs - is proved to be feasible position estimation for self-sensing active magnetic bearings. A neural network with five neurons in hidden layer is constructed and well trained. With neural network act as position feedback, the active magnetic bearings system performed well. Simulation results show that neural networks can well extract the information of rotor position from the current wave form.
Keywords :
backpropagation; electrical engineering computing; feedback; magnetic bearings; multilayer perceptrons; position measurement; rotors; artificial neural network; current waveform; error back propagation; mutilayer perceptron; nonlinear mapping; position estimation; position feedback; rotor position; self sensing active magnetic bearing; Artificial neural networks; Coils; Estimation; Magnetic levitation; Mathematical model; Neurons; Rotors; Active Magnetic Bearings; Artificial Neural Networks; Error back-propagation; Muti-layer perceptron; Self-sensing;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.336