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.
Highlights
Due to the high energy density, independence of external environment and high efficiency, the flywheel accumulation system was widely applied to the new energy power generation by scholars at home and aboard in order to improve quality of electric energy (Wang et al, 2011)
The flywheel accumulation system’s charging model is accomplished by controlling the flywheel motor, which is the transformational bridge of systematic electric energy and mechanical energy
There is a literature (Tang et al, 2008) used permanent magnet motor as the flywheel motor, applied id = 0 vector control strategy to realize the continuous control of the charging model in flywheel accumulation system
Summary
Due to the high energy density, independence of external environment and high efficiency, the flywheel accumulation system was widely applied to the new energy power generation by scholars at home and aboard in order to improve quality of electric energy (Wang et al, 2011). The flywheel accumulation system’s charging (accumulation energy) model is accomplished by controlling the flywheel motor, which is the transformational bridge of systematic electric energy and mechanical energy. The control of flywheel accumulation system working in charging model can come down to the control to the flywheel motor. There is a literature (Tang et al, 2008) used permanent magnet motor as the flywheel motor, applied id = 0 vector control strategy to realize the continuous control of the charging model in flywheel accumulation system. We use id = 0 vector control strategy in this study, building the flywheel charging model control system, whose control block diagram as shown in the Fig. 1 (CAO et al, 2011). According to theory of PID controller’s control algorithm, it combines the proportion, integration and differentiation linearly and forms controlled variable, so that we can control the controlled object.
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