Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation

Neural Network Structure PID Control of Power System for Hydraulic Walking Platform

Authors
Jun Wang, Yi Jin, Zhiyuan Zhang
Corresponding Author
Jun Wang
Available Online November 2015.
DOI
10.2991/icectt-15.2015.76How to use a DOI?
Keywords
PID, Neural network, Power system, Hydraulic walking platform
Abstract

To meet the control demand of power system in for hydraulic walking platform, based on the brief analysis of digital PID structure and its shortcoming, fast regulation and control precision control for requirement of power system is given, control algorithm for neural network structure PID is presented, control strategy of closed-loop control is made. Control algorithm and effect of control system is verified in experimental bench, experimental results showed that neural network structure PID algorithm effect is stable and it can meet the adjusting requirement in transient speed.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
10.2991/icectt-15.2015.76
ISSN
2352-5401
DOI
10.2991/icectt-15.2015.76How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Jun Wang
AU  - Yi Jin
AU  - Zhiyuan Zhang
PY  - 2015/11
DA  - 2015/11
TI  - Neural Network Structure PID Control of Power System for Hydraulic Walking Platform
BT  - Proceedings of the 2015 International Conference on Electromechanical Control Technology and Transportation
PB  - Atlantis Press
SP  - 400
EP  - 403
SN  - 2352-5401
UR  - https://doi.org/10.2991/icectt-15.2015.76
DO  - 10.2991/icectt-15.2015.76
ID  - Wang2015/11
ER  -