A Pneumatic Miniature Robotic Control System Based on Improved Single Neural Network PID Control

DOI

10.2991/iccsee.2013.7How to use a DOI?

Keywords

Rubber actuator, Inchworm movement, single neural network, PID.

Abstract

At present pneumatic miniature robotic control system usually adopts PID control strategy. The basic PID control strategy has its limitations. To cope with this problem, a lot of methods to optimize this strategy have been researched. In the paper an improved single neural network PID control strategy is put forward. The control strategy is a single neuron adaptive controller with adjusting weighting coefficient. Both simulation and experimental results indicate that this scheme is a feasible control method for the 3-dof pneumatic miniature robotic control system.

Copyright

© 2013, 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  - Wen Li
AU  - Hong-Min Li
PY  - 2013/03
DA  - 2013/03
TI  - A Pneumatic Miniature Robotic Control System Based on Improved Single Neural Network PID Control
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 25
EP  - 28
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.7
DO  - 10.2991/iccsee.2013.7
ID  - Li2013/03
ER  -