Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)

Iterative Learning Control Based on Niche Shuffled Frog Leaping Algorithm Research

Authors
Xiaohong Hao, Dongjiang Wang
Corresponding Author
Xiaohong Hao
Available Online March 2017.
DOI
10.2991/amcce-17.2017.29How to use a DOI?
Keywords
Nonlinear system; Norm optimization; Parameter optimization; Niche shuffled frog leaping Algorithm.
Abstract

Aiming at slow convergence and low precision optimization in iterative learning control, a niche shuffled frog leaping algorithm was proposed in this paper, which combined memes algorithm and particle swarm algorithm, using the niche shuffled frog leaping algorithm based on the restrictive competition, avoiding the paedogenesis effectively improving the convergence speed and optimization accuracy. In order to achieve less error and monotone convergence in the iterative domain, get better transient tracking performance and establish a fast PID parameter optimization iterative learning control algorithm based on the discrete norm performance index, the PID controller was introduced into the iterative learning control parameter optimization algorithm to expand the algorithm's dimension, increase the degree of freedom in the optimal parameters, and ultimately promote the learning efficiency.

Copyright
© 2017, 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 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/amcce-17.2017.29
ISSN
2352-5401
DOI
10.2991/amcce-17.2017.29How to use a DOI?
Copyright
© 2017, 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  - Xiaohong Hao
AU  - Dongjiang Wang
PY  - 2017/03
DA  - 2017/03
TI  - Iterative Learning Control Based on Niche Shuffled Frog Leaping Algorithm Research
BT  - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017)
PB  - Atlantis Press
SP  - 166
EP  - 172
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-17.2017.29
DO  - 10.2991/amcce-17.2017.29
ID  - Hao2017/03
ER  -