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An Improved Energy-Saving Design Method for Drive System with Multi Motor-Pumps by Using Genetic Algorithm

机译:采用遗传算法改进了多电动机驱动系统的节能设计方法

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Large energy loss caused by pumps at unloading and motors operated with low efficiency, is a prominent problem for the hydraulic drive system consisting of multi motor-pumps. The energy loss can be reduced by an energy-saving design method where motors and pumps are selected from the corresponding sets to improve the energy efficiency of the drive system. However, the number and type of motors and pumps is constrained by the contained elements to be selected in the set, and the calculated workload is enormous. Based on the previously proposed method, a genetic algorithm is used to select motors and pumps to satisfy the need of pressure, flow, and minimize unloaded loss. In this improved method, the motor-pumps can be selected quickly and accurately from sets with a larger range of types and numbers of elements, and the energy efficiency can be further improved. The method is applied to a rapid sheet tension hydraulic press to validate the effectiveness, and results show that the energy consumption in a work cycle can be reduced by 26.97%.
机译:由低效率运行的卸载和电动机泵引起的大能损失是由多电机泵组成的液压驱动系统的突出问题。通过节能设计方法可以减少能量损失,其中从相应的组中选择电动机和泵以提高驱动系统的能量效率。然而,电机和泵的数量和类型受到在集合中选择的包含元件的约束,并且计算的工作量是巨大的。基于先前提出的方法,遗传算法用于选择电动机和泵以满足压力,流量,最小化卸载损耗的需要。在这种改进的方法中,可以从具有较大类型和数量的元件的组快速且准确地选择电动机泵,并且可以进一步提高能量效率。该方法应用于快速张力液压机以验证有效性,结果表明,工作周期中的能量消耗可以减少26.97%。

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