Intelligent Control in Low Pressure Methanol Carbonylation CH3COOH Reaction

Yan Nian Rui; Xiao Mei Jiang; Kai Qiang Liu

doi:10.4028/www.scientific.net/AMR.233-235.1027

Paper Titles

Effect of Heat Treatment Process on Microstructure and Properties in Low Carbon Si-Mn Q&P Steel
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Purification and Characterization of Chitinases from Bacillus licheniformis Using Auricularia auricular Colloidal Substance as a Substrate
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Study on Microbial Adsorption on Material Surface Based on Dynamic-static Method
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A Facile Synthesis of 4-Aryl-3,4-Dihydropyrimidin-2(1H)-Ones in Iconic Liquids
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Intelligent Control in Low Pressure Methanol Carbonylation CH₃COOH Reaction
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Kinetics and Modelling of Bio-Magnetic Separation of Au(III) from Wastewater
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Electrocatalytic Degradation of Cellulose Using Lead Dioxide Anode
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Experimental Study on Dynamic Simulation of Circulating Cooling Water Biofouling
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Optimal Design of Multistage Flash Desalination Process Based on the Modified Genetic Algorithm (MGA)
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 233-235Intelligent Control in Low Pressure Methanol...

Intelligent Control in Low Pressure Methanol Carbonylation CH₃COOH Reaction

Abstract:

With catalysis system, carbonylation of methanol liquid is a better method in manufacture of acetic acid. However previous control mode can not well meet technique demands. This paper made some modification on reaction process control based on manufacturing technique. Aimed at much influence upon temperature including uncertainty, cross coupling effects and big delay about model, predictive functional control (PFC) technique combined with PID and feedforward are applied to temperature control of reaction process through supervisory total distributed control which leads to the improvement of regulatory capacity for both reference input tracking and load disturbance rejection. Practical results show stable and reliable system operation.