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• W2183250072 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." @default.
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• W2183250072 date "2013-05-30" @default.
• W2183250072 modified "2023-09-24" @default.
• W2183250072 title "The Application Research about Modified Genetic Algorithm in the Flywheel Charging-Control System" @default.
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• W2183250072 doi "https://doi.org/10.19026/rjaset.5.4242" @default.
• W2183250072 hasPublicationYear "2013" @default.
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