Parameter estimation in naphtha pyrolysis based on chaos quantum particle swarm optimization algorithm

  title={Parameter estimation in naphtha pyrolysis based on chaos quantum particle swarm optimization algorithm},
  author={Honggang Wang and Jingxin Feng and Feng Qian},
  journal={2008 7th World Congress on Intelligent Control and Automation},
Parameter estimation is the key step to improve the precision of a mechanistic model, which is fundamental for simulation, control and optimization of industrial processes. A novel method based on nonlinear optimization has been developed to estimate the initial selectivities of the first-order primary reaction for the naphtha decomposition. The proposed approach is to minimize the discrepancy between the model simulated outputs and the industrial measured values, based on the naphtha feed… CONTINUE READING
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Modeling of naphtha pyrolysis

  • P. Kumar, D. Kunzru
  • Ind. Eng. Chem. Process Des. Dev, vol. 24, no. 3…
  • 1985
Highly Influential
7 Excerpts

A Fast Simulation Algorithm for Industrial Cracking Furnaces

  • Q. Xu, B. Z. Chen, X. R. He
  • Hydrocarbon Processing, vol. 81, no.12, pp. 65-68…
  • 2002
1 Excerpt

Study on Modeling and Optimizing the Cracking Furnace in the large-scale ethylene plant

  • F. Qian
  • PhD thesis of East China University of Science…
  • 1995
3 Excerpts

The coupled simulation of heat transfer and reaction in an industrial pyrolysis furnace

  • F. Qian
  • Proc. of. Intern. Conf. on Modeling, Simulation…
  • 1992
1 Excerpt

The study of an Scale Chaos Quantum Particle Swarm algorithm

  • J. X. Feng, W. M. Zhong, F. Qian
  • Journal of East China University of Science and…
1 Excerpt

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