Research on BP Neural Network Motor Control Algorithm Based on Frog Leaping Algorithm

DOI

10.2991/mcei-18.2018.57How to use a DOI?

Keywords

PID Control; Motor Control; BP Neural Network; Frog Leaping Algorithm

Abstract

Traditional PID motor control methods have problems of low control accuracy and slow response speed. Therefore, in order to improve the performance of the speed control of brushless DC motor, a control method based on BP neural network and shuffled frog leaping algorithm is proposed. The DC motor was first modeled. Then, a 4-layer structure BP neural network is used to realize multilayer perception. Finally, the complete steps of motor control are realized by using shuffled frog leaping algorithm. The simulation results show that the proposed motor control method has faster response speed, higher control accuracy and better reliability and effectiveness compared with the traditional PID control method.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xia Liu
AU  - Lili Zhang
AU  - Hanlin Wang
PY  - 2018/06
DA  - 2018/06
TI  - Research on BP Neural Network Motor Control Algorithm Based on Frog Leaping Algorithm
BT  - Proceedings of the 2018 8th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2018)
PB  - Atlantis Press
SP  - 283
EP  - 288
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-18.2018.57
DO  - 10.2991/mcei-18.2018.57
ID  - Liu2018/06
ER  -