The Application of Implicit Generalized Predictive Self-Tuning Algorithm for Liquefied Natural Gas Storage Station

Ya Ting Deng; Wei Long; Shao Jie Sun

doi:10.4028/www.scientific.net/AMR.268-270.458

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270The Application of Implicit Generalized Predictive...

The Application of Implicit Generalized Predictive Self-Tuning Algorithm for Liquefied Natural Gas Storage Station

Abstract:

The advanced implicit generalized predictive self-tuning control algorithm was used against those characteristics of the outlet’s gas pressure such as large-time delay, time varying, vulnerable to random noise and so on. Through the simulation, a good tracking performance was shown, and in the process of actual operation, it also achieved satisfactory control effect.

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Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

458-461

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.458

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Online since:

July 2011

Authors:

Ya Ting Deng, Wei Long, Shao Jie Sun

Keywords:

Distribution Station, Gasification Storage, Implicit Generalized Predictive Self-Tuning Control Algorithm, Liquefied Natural Gas, Liquefied Natural Gas Peak Shaving

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