Metal-Organic Framework Synthesis System Based on Fuzzy Predictive Control via Network Transmission | Zendy

Jui-Ho Chen | Zendy; Hsi-Chun Wang | Zendy

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Metal-Organic Framework Synthesis System Based on Fuzzy Predictive Control via Network Transmission

Author(s) -

Jui-Ho Chen,

Hsi-Chun Wang

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/105289

Subject(s) - interface (matter) , transmission (telecommunications) , fuzzy logic , real time computing , computer science , model predictive control , network packet , control system , fuzzy control system , control engineering , engineering , control (management) , electrical engineering , telecommunications , computer network , bubble , maximum bubble pressure method , artificial intelligence , parallel computing

The purpose of this study is to construct metal-organic framework (MOF) synthesis heating systems based on fuzzy method for monitoring and automatic control. In this study, the temperature sensing module for measurements sensed values that it through a wireless ZigBee chips and wired DAQ device for real-time data transmission. Because MOF synthesis, often due to different modes of heating or heating instability caused by its nucleation and crystal growth rate, is an important influence, leading to different crystallinity, the use of fuzzy theory to predict the temperature parameter and instant heating MOF synthesis parameters can be adjusted to improve the accuracy of the system. The research system to RS-232 interface module for infrared emission control packets issued and automated control of the furnace through the infrared receiver module. This study is based on a terminal interface window of Visual Basic programming and LabView graphical diagram for control system design. Finally, this research, through a number of experiments to validate the use of fuzzy system development methods and networks, can improve the accuracy of the reaction efficiency MOF sensing and control the heating system.

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