Optimization of the Compression Systems Using Genetic Algorithm

被引:0
作者
Boushaki, Razika Zamoum [1 ]
Kessal, Farida [1 ]
Bentarzi, Hamid [1 ]
机构
[1] Univ Mhamed Bougara Boumerdes, Inst Elect & Elect Engn, Boumerdes, Algeria
来源
2016 International Conference on Robotics and Automation Engineering (ICRAE 2016) | 2016年
关键词
recycle compression systems; centrifugal compressors; genetic algorithm; surge; PID controller; optimization;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Centrifugal compressors are widely used in industrial fields especially in oil and natural gas processes. One of the major control problems associated with this type of compressors is the pressure fluctuation or the surge. Many methods and techniques were recently designed to control the operating point of a compressor to prevent the surge phenomena and make the system operate in the stable region with maximum performance under the optimization of the compression system by new techniques. The objective function on the compressor showed numerous local extreme values in the design space. If a gradient-based method is applied to this problem, the result could be a local maximum or minimum. In order to avoid this undesirable result, a genetic algorithm GA has been applied. In this paper we have used the genetic algorithm method in order to maximize the pressure developed by the compressor for a minimum suction flow.
引用
收藏
页码:113 / 118
页数:6
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