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/).
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 -