Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


The Application Research about Modified Genetic Algorithm in the Flywheel Charging-Control System

1Yuanlong Liu, 2Yuanbiao Zhang, 1Jiaqi Zhong and 1Jianwen Zhu
1Electrical and Information Engineering School, Jinan University, 519070, China
2Packaging Engineering Institute, Mathematical Modeling Innovative Practice Base, Jinan University, Zhuhai, 519070, China
Research Journal of Applied Sciences, Engineering and Technology  2013  24:5598-5601
http://dx.doi.org/10.19026/rjaset.5.4242  |  © The Author(s) 2013
Received: October 17, 2012  |  Accepted: December 14, 2012  |  Published: May 30, 2013

Abstract

In the flywheel charging-control system, there exists the flywheel motor’s nonlinearity, variable elements etc, which leads to the problem of parameter tuning of PID controller of its charging-control system’s revolving speed loop. In this study, I will introduce an optimizing way based on modified genetic algorithm for the flywheel charging-control system PID controller, which by means of simulation and performance index quantization to observe its optimizing performance and convergence characteristic, so that we can check the feasibility and effectiveness in the flywheel charging-control system. It turns out that tuning PID controller parameters based on modified genetic algorithm has a better rapidity and stability, which proves the feasibility of the modified genetic algorithm.

Keywords:

Parameter optimization, PID controller, the flywheel charging-control system, the modified genetic algorithm,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved