New approach of average modelling and control for AC/DC power supplies which operates with variable duty cycle

Author(s):  
A. Lizaro ◽  
A. Barrado ◽  
J. Pleite ◽  
J. Vdzquez ◽  
E. Olfas
2017 ◽  
Vol 865 ◽  
pp. 175-180
Author(s):  
Po Li ◽  
Rui Nan Liu ◽  
Xiang Hui Ma

Buck converters are commonly used as DC power supplies. To deal with the parameters uncertainty in R-L (resistance-inductance), an Unknown Offset Free Model Predictive Control (UOFMPC) method for buck converters have been proposed in this paper. Firstly, a continuous model for buck converters is established. Based on it, a discrete model with fixed sampling time is derived and the output of controller is set as the direct switch on/off signals. Secondly, one-step MPC method aimed at optimizing the output voltage with recursive least squares algorithm for parameters identification is given to satisfy the ability of adaptation in parameters. Finally, both the model and control scheme are validated by simulation in MATLAB/Simulink.


2013 ◽  
Vol 732-733 ◽  
pp. 752-756
Author(s):  
Peng Ye ◽  
Hai Fei Gu ◽  
Wei Dang

In this paper, a new approach to AC/DC power flow is proposed on the basis of uniform methods and control logic conversion of operation state. This method can take the action of the converter transformer tap into consideration and effectively deal with the conversion of HVDC system operation modes in power flow calculation. According to judgment logic of different operation modes, independent subroutines which are programmed in advance are employed to complete the AC/DC power flow calculation. The programming and simulation results demonstrate the approach is clear and easy to program and the transformer tap adjustment and the transformation of operation mode in HVDC system can be solved effectively in power flow calculation.


2018 ◽  
Author(s):  
Gaolei Zhan ◽  
Younes Makoudi ◽  
Judicael Jeannoutot ◽  
Simon Lamare ◽  
Michel Féron ◽  
...  

Over the past decade, on-surface fabrication of organic nanostructures has been widely investigated for the development of molecular electronic devices, nanomachines, and new materials. Here, we introduce a new strategy to obtain alkyl oligomers in a controlled manner using on-surface radical oligomerisations that are triggered by the electrons/holes between the sample surface and the tip of a scanning tunnelling microscope. The resulting radical-mediated mechanism is substantiated by a detailed theoretical study. This electron transfer event only occurs when <i>V</i><sub>s</sub> < -3 V or <i>V</i><sub>s</sub> > + 3 V and allows access to reactive radical species under exceptionally mild conditions. This transfer can effectively ‘switch on’ a sequence leading to formation of oligomers of defined size distribution due to the on-surface confinement of reactive species. Our approach enables new ways to initiate and control radical oligomerisations with tunnelling electrons, leading to molecularly precise nanofabrication.


1991 ◽  
Vol 27 (5) ◽  
pp. 872-875 ◽  
Author(s):  
A. Esser ◽  
H.-C. Skudelny
Keyword(s):  

2012 ◽  
Vol 195-196 ◽  
pp. 829-833
Author(s):  
Jin Wei Yu

In this paper, a new kind of presentation model for software modeling and transformation is proposed, which is composed of three parts: static model, action model and presentation model. Presentation model describes user interface appearance thorough, while interface template describes the macro-layout and relation of interface, whose basic element is interactive object. Interface template-based presentation model can enhance the rationality of macro-layout of the interface, enhance the expressive power and control power, meet the requirement of auto generate high quality user interface. This solution can be used widely for suffering little from the domain and some special techniques of target applications.


2013 ◽  
Vol 2013 ◽  
pp. 1-19
Author(s):  
Wai-Yuan Tan ◽  
Hong Zhou

To incorporate biologically observed epidemics into multistage models of carcinogenesis, in this paper we have developed new stochastic models for human cancers. We have further incorporated genetic segregation of cancer genes into these models to derive generalized mixture models for cancer incidence. Based on these models we have developed a generalized Bayesian approach to estimate the parameters and to predict cancer incidence via Gibbs sampling procedures. We have applied these models to fit and analyze the SEER data of human eye cancers from NCI/NIH. Our results indicate that the models not only provide a logical avenue to incorporate biological information but also fit the data much better than other models. These models would not only provide more insights into human cancers but also would provide useful guidance for its prevention and control and for prediction of future cancer cases.


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