Force Ripple Suppression Research for Linear Motor Servo System Based on BP Neural Network

Rui Peng; Yue Nan Zeng; Jian Tang; Kang Ping Chen

doi:10.4028/www.scientific.net/AMM.654.191

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 654Force Ripple Suppression Research for Linear Motor...

Force Ripple Suppression Research for Linear Motor Servo System Based on BP Neural Network

Abstract:

For the permanent magnet synchronous linear motor’s (PMSLM) force ripple, the mathematical model of detent force is established in this paper, and presents a suppression strategy based on neural network. By the designing of BP neural network force ripple observer, theoretical analysis shows can effectively restrain the force ripple. Simulation results show the correctness and validity of the suppression strategy.

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Periodical:

Applied Mechanics and Materials (Volume 654)

Pages:

191-195

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.654.191

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Online since:

October 2014

Authors:

Rui Peng, Yue Nan Zeng*, Jian Tang, Kang Ping Chen

Keywords:

BP Neural Network (BPNN), Detent Force, Force Ripple Suppression, PMSLM

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* - Corresponding Author

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