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Complex fluid network optimization and control integrative design based on nonlinear dynamic model

Author

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  • Sui, Jinxue
  • Yang, Li
  • Hu, Yunan

Abstract

In view of distribution according to complex fluid network’s needs, this paper proposed one optimization computation method of the nonlinear programming mathematical model based on genetic algorithm. The simulation result shows that the overall energy consumption of the optimized fluid network has a decrease obviously. The control model of the fluid network is established based on nonlinear dynamics. We design the control law based on feedback linearization, take the optimal value by genetic algorithm as the simulation data, can also solve the branch resistance under the optimal value. These resistances can provide technical support and reference for fluid network design and construction, so can realize complex fluid network optimization and control integration design.

Suggested Citation

  • Sui, Jinxue & Yang, Li & Hu, Yunan, 2016. "Complex fluid network optimization and control integrative design based on nonlinear dynamic model," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 20-26.
    • Handle: RePEc:eee:chsofr:v:89:y:2016:i:c:p:20-26
    DOI: 10.1016/j.chaos.2015.09.009
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    Cited by:

    1. David-Fernando Novella-Rodriguez & Emmanuel Witrant & Christian Commault, 2022. "Physical Modeling and Structural Properties of Small-Scale Mine Ventilation Networks," Mathematics, MDPI, vol. 10(8), pages 1-18, April.
    2. Dong, Zhe & Cheng, Zhonghua & Zhu, Yunlong & Zhang, Zuoyi & Dong, Yujie & Huang, Xiaojin, 2024. "Passivity-based control of fluid flow networks with capacitance," Energy, Elsevier, vol. 299(C).

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