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Immersed Tunnel Element Translation Control Under Current Flow Based on Particle Swarm Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10385))

Abstract

Translation is normally the main working mode of tunnel element transportation, which is one of key techniques in immersed tunnel. An approach which can decide the magnitudes and directions of towing forces is presented in no-power immersed tunnel element’s translation control under current flow. A particle swarm-based control method, which exploits a sort of linear weighted logarithmic function to avoid weak subgoals, is utilized. In simulation, the performance of the particle swarm-based control method is evaluated in the case of Hong Kong-Zhuhai-Macao Bridge project.

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References

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Acknowledgment

This work is supported by the Ministry of education of Humanities and Social Science project(Nos. 15YJC630145, 15YJC630059), Natural Science Foundation supported by Shanghai Science and Technology Committee (No. 15ZR1420200), National Natural Science Foundation of China (No. 61603244). Here we would like to express our gratitude to them.

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Correspondence to Xu Bo-wei .

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Jun-jun, L., Bo-wei, X., Qin-Qin, F. (2017). Immersed Tunnel Element Translation Control Under Current Flow Based on Particle Swarm Optimization. In: Tan, Y., Takagi, H., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2017. Lecture Notes in Computer Science(), vol 10385. Springer, Cham. https://doi.org/10.1007/978-3-319-61824-1_24

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  • DOI: https://doi.org/10.1007/978-3-319-61824-1_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61823-4

  • Online ISBN: 978-3-319-61824-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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