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基于遺傳算法的壓縮機(jī)參數(shù)優(yōu)
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Optimization of Compressor Based on Genetic Algorithm
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    摘要:

    為了提高直流無刷電動機(jī)驅(qū)動壓縮機(jī)的效率，提出嵌入電動機(jī)模塊的遺傳算法的壓縮機(jī)優(yōu)化方法。模型優(yōu)化目標(biāo)為電動機(jī)效率,，優(yōu)化變量為低壓缸直徑,、高壓缸直徑,、低壓活塞行程,、高壓活塞行程,、電動機(jī)轉(zhuǎn)速,。產(chǎn)生的變量值通過sim函數(shù)賦值給電動機(jī)模塊,，通過sim函數(shù)控制電動機(jī)模塊的仿真時間,，仿真結(jié)束后，將效率值通過sim函數(shù)返回給遺傳算法主程序,。仿真結(jié)果表明,，優(yōu)化后的壓縮機(jī)效率比優(yōu)化前更優(yōu)。實(shí)驗結(jié)果表明,，優(yōu)化后壓縮機(jī)在低壓0.7MPa時比功率和優(yōu)化前相差很小,，在高壓2.5MPa時明顯小于優(yōu)化前的比功率，說明嵌入電動機(jī)模塊的遺傳算法的壓縮機(jī)優(yōu)化方法是可行,、合理的,。

    Abstract:

    In order to improve the efficiency of permanent magnet brushless D.C. motor (BLDCM) driving air compressor, genetic algorithm embed BLDCM module which optimizes the air compressor was put forward. Optimized target of genetic algorithm is the efficiency of BLDCM. Optimized variables are the diameter of low pressure cylinder, the diameter of high pressure cylinder, the journey of low pressure piston, the journey of high pressure piston and the rotate speed of BLDCM. The values of variables were passed to BLDCM module by sim function. Simulation time was controlled by sim function. The efficiency value was passed to genetic algorithm program. Simulated result shows that the efficiency of BLDCM is higher than that before optimized. The experimental result shows that the specific power of air compressor is almost the same as that before optimized at 0.7MPa, but is much less than that before optimized at 2.5MPa. The result also shows that genetic algorithm embed BLDCM module which optimized the air compressor is available and practical. 

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鐘美鵬,鄭水英,潘曉弘.基于遺傳算法的壓縮機(jī)參數(shù)優(yōu)[J].農(nóng)業(yè)機(jī)械學(xué)報,2009,40(8):198-202. Optimization of Compressor Based on Genetic Algorithm[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(8):198-202.

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