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| 基于遗传算法的压缩机参数优 | |
| 引用本文： | 钟美鹏,郑水英,潘晓弘.基于遗传算法的压缩机参数优[J].农业机械学报,2009,40(8):198-202. |
| 作者姓名： | 钟美鹏 郑水英 潘晓弘 |
| 作者单位： | 1. 浙江大学机械与能源工程学院,杭州310027;嘉兴学院机电分院,嘉兴314001 2. 浙江大学化学机械研究所,杭州,310027 3. 浙江大学机械与能源工程学院,杭州,310027 |
| 基金项目： | 国家"863"高技术研究发展计划资助项目，浙江省科研工业项目 |
| 摘 要： | 为了提高直流无刷电动机驱动压缩机的效率,提出嵌入电动机模块的遗传算法的压缩机优化方法.模型优化目标为电动机效率,优化变量为低压缸直径、高压缸直径、低压活塞行程、高压活塞行程、电动机转速.产生的变量值通过sim函数赋值给电动机模块,通过sim函数控制电动机模块的仿真时间,仿真结束后,将效率值通过sim函数返回给遗传算法主程序.仿真结果表明,优化后的压缩机效率比优化前更优.实验结果表明,优化后压缩机在低压0.7 MPa时比功率和优化前相差很小,在高压2.5 MPa时明显小于优化前的比功率,说明嵌入电动机模块的遗传算法的压缩机优化方法是可行、合理的. |
| 关 键 词： | 压缩机 遗传算法 直流无刷电动机 效率 |
Optimization of Compressor Based on Genetic Algorithm |
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| Zhong Meipeng,Zheng Shuiying,Pan Xiaohong.Optimization of Compressor Based on Genetic Algorithm[J].Transactions of the Chinese Society of Agricultural Machinery,2009,40(8):198-202. | |
| Authors: | Zhong Meipeng Zheng Shuiying Pan Xiaohong |
| Institution: | 1.Institute of Manufacture Engineering;Zhejiang University;Hangzhou 310027;China 2.College of Mechanical and Electrical Engineering;Jiaxing College;Jiaxing 314001;China 3.Institute of Chemical Machinery;China |
| 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 ... |
| Keywords: | Compressor Genetic algorithm BLDCM Efficiency |
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