Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

Force Control of Electrical Load System Based on Single Neuron PID Adaptive and Repetitive Control

Authors
Zhiqiang Wei, Guanghua Zong, Hongchong Wu
Corresponding Author
Zhiqiang Wei
Available Online March 2013.
DOI
10.2991/iccsee.2013.303How to use a DOI?
Keywords
surplus torque, electrical load system, single neuron, PID control, repetitive control
Abstract

In view of the surplus torque and complexity of controlled plant in passive electrical load system, a novel approach based on single neuron PID adaptive control and repetitive control for repetitive periodic load control system is proposed. Radial basis function (RBF) neural network is used to identify the system on-line for the single neuron PID controller to adjust its weights and PID parameters by self-learning and self-adapting based on the desired output. The dynamic state performance can be improved by the single neuron adaptive PID control and the steady state performance is also improved by modified repetitive control. Computer simulation results show that the force/position hybrid control system can effectively reduce the surplus torque and improve the loading precision, and also it has fine dynamic and steady state performance and good robustness. The reliability of whole system is further improved.

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/).

Download article (PDF)

Volume Title
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
10.2991/iccsee.2013.303
ISSN
1951-6851
DOI
10.2991/iccsee.2013.303How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Zhiqiang Wei
AU  - Guanghua Zong
AU  - Hongchong Wu
PY  - 2013/03
DA  - 2013/03
TI  - Force Control of Electrical Load System Based on Single Neuron PID Adaptive and Repetitive Control
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1205
EP  - 1209
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.303
DO  - 10.2991/iccsee.2013.303
ID  - Wei2013/03
ER  -