Abstract
Due to the hysteresis behavior of VCM (Voice Coil Motor), a neural network adaptive inverse control is proposed. In the control, a dynamic neural network is improved by adding low pass filter to BP (Back Propagation) to increase weights’ dynamic information, and the neural network control with the dynamic internal and external features is used to improve the dynamic behavior of the control system. The simulation results show that the new control approach for VCM is effective.
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© 2011 Springer-Verlag Berlin Heidelberg
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Dang, X., Cao, F., Wang, Z. (2011). Dynamic Neural Network Control for Voice Coil Motor with Hysteresis Behavior. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21111-9_6
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DOI: https://doi.org/10.1007/978-3-642-21111-9_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21110-2
Online ISBN: 978-3-642-21111-9
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