The Mechanical Improve Design and Simulation Analysis of Loom’s Let-Off System

2012 ◽  
Vol 443-444 ◽  
pp. 1078-1083
Author(s):  
Jian Cheng Yang ◽  
Xin Rong Li ◽  
Yong Li Zhao ◽  
Guan Zhu Wang ◽  
Ze Xu Zhou

As the long transmission line, complex mechanism, poor performance of regulation and control and low sensitivity of mechanical let-off, so it can not meets the requirements of stable tension. Therefore, the let-off mechanical was improved. This paper takes let-off system of SAURER400 rapier loom as experimental subject, mathematical modeling to every parts of loom, and takes simulation and comparison. The simulation results show the improvement of mechanical can meet the basic requirements of weaving, and it indicates the works that done former are effective and correct.

2019 ◽  
Author(s):  
Viswanatha V

This paper describes mathematical modeling techniques, simulation and implementation of boost converter. Four modeling techniques such as circuit modeling, mathematical circuitry modeling, and transfer function modeling and state-space modeling. Each modeling method is developed and implemented in MATLAB and Simulink environment. Circuit modelling is also done in PSIM tool. From the simulation results it is clear that capacitor voltage waveform which is a state variable gives identical response in all modeling techniques; state-space, mathematical circuitry, circuit and transfer function modeling approaches. Simulation results of all models perfectly overlapping each other and also settling time is very less in circuit modeling and transfer function modeling which is more desirable .Stability analysis ;bode plot ,pole-zero plot and step response are carried out using transfer function modeling .The offered models helps to the expansion of boost converter design, simulation ,analysis and educational tool[1].


Author(s):  
Reyhane Mokhtarname ◽  
Ali Akbar Safavi ◽  
Leonhard Urbas ◽  
Fabienne Salimi ◽  
Mohammad M Zerafat ◽  
...  

Dynamic model development and control of an existing operating industrial continuous bulk free radical styrene polymerization process are carried out to evaluate the performance of auto-refrigerated CSTRs (continuous stirred tank reactors). One of the most difficult tasks in polymerization processes is to control the high viscosity reactor contents and heat removal. In this study, temperature control of an auto-refrigerated CSTR is carried out using an alternative control scheme which makes use of a vacuum system connected to the condenser and has not been addressed in the literature (i.e. to the best of our knowledge). The developed model is then verified using some experimental data of the real operating plant. To show the heat removal potential of this control scheme, a common control strategy used in some previous studies is also simulated. Simulation results show a faster dynamics and superior performance of the first control scheme which is already implemented in our operating plant. Besides, a nonlinear model predictive control (NMPC) is developed for the polymerization process under study to provide a better temperature control while satisfying the input/output and the heat exchanger capacity constraints on the heat removal. Then, a comparison has been also made with the conventional proportional-integral (PI) controller utilizing some common tuning rules. Some robustness and stability analyses of the control schemes investigated are also provided through some simulations. Simulation results clearly show the superiority of the NMPC strategy from all aspects.


2015 ◽  
Vol 09 (01) ◽  
pp. 1650001 ◽  
Author(s):  
Drew Posny ◽  
Chairat Modnak ◽  
Jin Wang

We propose a general multigroup model for cholera dynamics that involves both direct and indirect transmission pathways and that incorporates spatial heterogeneity. Under biologically feasible conditions, we show that the basic reproduction number R0 remains a sharp threshold for cholera dynamics in multigroup settings. We verify the analysis by numerical simulation results. We also perform an optimal control study to explore optimal vaccination strategy for cholera outbreaks.


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