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| Parameter identification of hydraulic low pressure pipeline transient model using genetic algorithms |
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| DOI：10.7511/jslx20084096 |
| KeyWord:pressure transients,genetic algorithms,parameter identification |
| YANG Chi-fu LI Song-jing JIANG Dan |
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| Abstract: |
| In order to predict pressure transients accompanied with cavitation and gas bubbles inside low pressure hydraulic pipeline,a new method using improved genetic algorithms(GAs) in parameter identification of pressure transient models is presented in this paper.Pressure transient mathematical models are given to describe the flow behavior in the pipeline.The dynamic models of cavitation and gas bubbles are built to calculate the cavitation volume and gas bubbles volume during the transients.A fitness model based on the least-square errors for parameter optimization is built,the way of genetic operation and algorithm termination rule are discussed.Integrating arithmetic intercross with linear approach,an ameliorated arithmetic intercross operator is adopted to perform the cross operation.The GAs flow with parameter optimization of low pressure hydraulic pipeline pressure transient models is given.Making use of improved GAs,parameter identification of pressure transient mathematical models is carried out,simulation model with optimal parameters is obtained using improved GAs.Comparison between predicted results and experimental data shows that GAs is capable of estimating unknown parameters in hydraulic low pressure pipeline transient model. |
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