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- 저자 : Can-Chen Jiang (검색결과 2 건)
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Taijun Jiang,Guangsheng Zeng,Can Hu,Cong Meng,Yi Chen 한국섬유공학회 2021 Fibers and polymers Vol.22 No.4
Polypropylene melt-blown fabric as the core filter materials plays an important role in manufacturing civil andmedical epidemic prevention products. The aim of this study was to optimize and control the particle filtration efficiency andapparent surface quality of the melt-blown fabric from the perspectives of electret masterbatch composition and processingparameters. Magnesium stearate and fumed silica were used as the electret to manufacture polypropylene melt-blown fabric. The layout and charge voltage of the electret device was taken as the variables to optimize and improve the particle filtrationefficiency and bulkiness coefficient of the fabric. The temperature of the barrel and die was controlled to enhance the surfacequality and corresponding particle filtration efficiency. The results showed that a combination of organic magnesium stearateand inorganic fumed silica could obtain a balance between particle filtration efficiency and smooth processing without beingjammed. Increasing the charge voltage and rearranging the position of the charge wires could significantly enhance theparticle filtration efficiency. A better particle filtration efficiency and reasonable bulkiness coefficient could be obtained bycontrolling the diameter of the filaments by regulating the temperature of the barrel and die as well as the suction intensity. The results obtained from this study can offer valuable references in optimization of electret master batch formulation andprocessing parameters for melt-blown fabric production with different resin.
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Robust Contractive Economic MPC for Nonlinear Systems with Additive Disturbance
Meng Zhao,Can-Chen Jiang,Ming-Hong She 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.5
This article presents two novel robust contractive economic model predictive control (EMPC) algorithms with guaranteed input-to-state stability for nonlinear disturbed systems. Specifically, the first one adopts the nonquadratic economic objective function and implements the control sequence in block fashion, i.e., re-optimizing after all N control laws being applied. The second one takes receding horizon optimization strategy and only apply the first element in control sequence at each step. By appropriately chosen the contraction rate P in contractive constraint, the closed-loop system under each control algorithm is proven to be input-to-state stable. In order to illustrate the efficiency of proposed algorithms, a disturbed CSTR model is utilized.
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