A model for parameter estimation of multistage centrifugal compressor and compressor performance analysis using genetic algorithm  

作　　者：CHU Fei WANG FuLi WANG XiaoGang ZHANG ShuNing 

机构地区：[1]College of in formation Science and Engineering,Northeastern University,Shenyang 110819,China [2]State Key Laboratory of Integrated Automation for Process Industries,Northeastern University,Shenyang 110819,China

出　　处：《Science China(Technological Sciences)》2012年第11期3163-3175,共13页中国科学（技术科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos. 61174130,61004083,61074074);the National Basic Research Program of China ("973" Program) (Grant No.2009CB320601);Fundamental Research Funds for the Central Universities (Grant No. N100604008)

摘　　要：A model for performance prediction of multistage centrifugal compressor is proposed. The model allows the users to predict the compressor performance, e.g. pressure ratio, efficiency and losses using the compressor geometric information and speed by a stage stacking calculation based on the characteristics of each stage. To develop the compressor elemental stage charac- teristics, the compressor losses, such as incidence losses and friction losses, are mathematically modeled. For a composite sys- tems, for instance a gas turbine power plant, the performance of the multistage centrifugal compressor can be evaluated. Since some important parameters of the compressor model, e.g., the slip factor or, shock loss coefficient （and reference diameter DI, are hard to be determined by empirical laws, a genetic algorithm （GA） is used to solve the parameter estimation problem of the proposed model, and in turn the compressor performance analysis and parameters study are performed. The surge line for the multistage centrifugal compressor can also be determined from the simulation results. Furthermore, the model presented here provides a valuable tool for evaluating the multistage centrifugal compressor performance as a function of various operation parameters.

关 键 词：performance predication centrifugal compressor incidence loss genetic algorithm surge line 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程] TH452[自动化与计算机技术—控制科学与工程]