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Study on Near Distributed Dynamic Model of a Multifountain-and-multiconfluent Network System of Steam Main-pipeline and parallel coursing units

Study on Near Distributed Dynamic Model of a Multifountain-a...

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The 5th International Symposium on Measurement Techniques for Multiphase Flows(5th ISMTMF)

作者： Pan Lei Shen Jiong School of Energy and Environment Southeast University Nanjing China

＜正＞According to the deficiency of the prior modeling methods on main-pipeline system,the paper advances a near distributed modeling way based on subsection,combination and delamination for parallel coursing units and main-pipehne system to fully show its distributed dynamics by an easy-simulated mode of ***,a principle is established to plot out the main-pipeline into some short pipe-sections between each pair of fountain/confluent points. Secondly,a near distributed decouphng transfer function matrix model without steady error for each pipe-section is built by rationally approximate deduction and then joined with the dynamic models of the fountain/confluent at the two ends of the pipe-section to form the near distributed model of each ***,a smooth arithmetic is adopted to joint all the conterminous subsections into a whole system *** modeling method above decreases the dimension of matter space and integrates more influence factors on the systern dynamic characteristics into the built model,such as pipe length,diameter and the thermodynamics of working fluid,so it more particularly reflects the distributed dynamic characteristics of a multifountain-and-multiconfluent network system of steam main-pipeline and parallel coursing units than before,and can act well as the simulated research object for advanced main-pipeline system control arithmetic and distributed control technology or even validates *** simulation experiments have been done and produced good results to prove the validity of the modeling method.

关键词： parallel coursing unit dynamic mathematic model distributed parameter decoupling control multifountain-and-multiconfluent networks

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