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2013 (Vol. 5, Issue: 24)
Article Information:

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

Yuanlong Liu, Yuanbiao Zhang, Jiaqi Zhong and Jianwen Zhu
Corresponding Author:  Yuanlong Liu 

Key words:  Parameter optimization, PID controller, the flywheel charging-control system, the modified genetic algorithm, , ,
Vol. 5 , (24): 5598-5601
Submitted Accepted Published
October 17, 2012 December 14, 2012 May 30, 2013
Abstract:

In the flywheel charging-control system, there exists the flywheel motorís nonlinearity, variable elements etc, which leads to the problem of parameter tuning of PID controller of its charging-control systemís 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.
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  Cite this Reference:
Yuanlong Liu, Yuanbiao Zhang, Jiaqi Zhong and Jianwen Zhu, 2013. The Application Research about Modified Genetic Algorithm in the Flywheel Charging-Control System.  Research Journal of Applied Sciences, Engineering and Technology, 5(24): 5598-5601.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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