Analysis of three T1DM simulation models for evaluating robust closed-loop controllers

2014 ◽  
Vol 113 (1) ◽  
pp. 371-382 ◽  
Author(s):  
P. Colmegna ◽  
R.S. Sánchez Peña
Keyword(s):  
Closed Loop ◽  
Simulation Models

Model Based Control for Closed Loop Testing of 1-D Engine Simulation Models*

2012 ◽  
Vol 45 (30) ◽  
pp. 482-489 ◽  
Author(s):  
Dariusz Cieslar ◽  
Alex Darlington ◽  
Keith Glover ◽  
Nick Collings
Keyword(s):  
Closed Loop ◽  
Simulation Models ◽  
Model Based Control ◽  
Engine Simulation ◽  
Model Based

scholarly journals Improving Strategic Decision-Making in a Closed-Loop Rail Network with Hybrid Simulation-Optimization Modeling

2019 ◽  
Author(s):  
Jorge Ubirajara Pedreira Junior ◽  
Ademar Nogueira do Nascimento ◽  
Cristiano Hora de Oliveira Fontes
Keyword(s):  
Optimization Model ◽  
Closed Loop ◽  
Simulation Optimization ◽  
Network Simulation ◽  
Hybrid Simulation ◽  
Simulation Models ◽  
Strategic Decision ◽  
Rail Systems ◽  
Infrastructure Provision ◽  
Loading And Unloading

The availability of rail infrastructure resources is a major driver of rail operations performance.  To evaluate the impact of infrastructure provision, network simulation models can be used to accurately represent train traffic behavior in a wide range of scenarios. However, performing this task can result in a problem of high combinatorial nature as the number of factors and their associated levels increase. This requires more sophisticated techniques such as experimental design formulations or optimization modeling in order to yield satisfactory results. Yet the research in network simulation models for rail systems has hitherto been limited to simple what-if analysis, made up from few factors that cannot represent the whole spectrum of interventions. This is especially critical in closed-loop rail systems where trains are subject to various interferences. Local improvements can be misleading as the queues are merely transferred within the network. Considering this, we propose a hybrid simulation-optimization model to aid the strategic decision of minimizing supplementary capital costs in a heavy-haul Brazilian railroad under construction. As soon as the railroad is completed, investments in both loading and unloading rail terminals will be necessary. First, we developed a representative and flexible model capable of dealing with complex relations between variable infrastructure provision and the resulting operational performance. Then, we simulated this system to prove that the current set of proposed infrastructure resources cannot meet the transportation demands. Afterwards, we demonstrate that local improvements can be delusive as the queues are shifted from loading to unloading operations, reciprocally. Then, we solve an optimization model to define the minimal supplementary investment in order to meet the commercial goals of mining companies. This is done by choosing the best trackage configuration, equipment quantity and capacity and fleet sizing in 3 different production scenarios. The best values of the objective function were found by improving both loading and unloading equipment and increasing the number of trains.

Model based approach to closed loop control of 1-D engine simulation models

2014 ◽  
Vol 29 ◽  
pp. 212-224 ◽  
Author(s):  
Dariusz Cieslar ◽  
Paul Dickinson ◽  
Alex Darlington ◽  
Keith Glover ◽  
Nick Collings
Keyword(s):  
Closed Loop ◽  
Simulation Models ◽  
Closed Loop Control ◽  
Loop Control ◽  
Engine Simulation ◽  
Model Based

Modeling and Simulation of Vector Control System for Asynchronous Motor

2013 ◽  
Vol 397-400 ◽  
pp. 1241-1244
Author(s):  
Jun Rong ◽  
Yue Jiao Ding ◽  
Xi Chen
Keyword(s):  
Control System ◽  
Vector Control ◽  
Closed Loop ◽  
Current Model ◽  
Asynchronous Motor ◽  
Simulation Models ◽  
Rotor Flux ◽  
Simulation Results ◽  
Machine Speed ◽  
Vector Control System

Alternating current (AC) machine speed-adjusting system plays a very important role in our daily life. Firstly, this paper studies the basic principle of vector control system for three-phase asynchronous motor based on the MT coordinate system, and this paper especially gives the calculation principle diagram of the current model for rotor flux. Then this paper establishes the double closed-loop vector control system based on the Matlab/Simulink detail, and gives the simulation results. The simulation results of the double closed-loop vector control system verify the correctness of the simulation models and the principle of vector controlling.

The Simulation Analysis of Temperature Effects on System Performance of Silicon Micro-Gyroscope

2014 ◽  
Vol 529 ◽  
pp. 375-378
Author(s):  
Yun Peng Deng ◽  
Bo Yang ◽  
Xing Jun Wang ◽  
Bo Dai
Keyword(s):  
System Performance ◽  
Closed Loop ◽  
Simulation Analysis ◽  
Simulation Models ◽  
Temperature Characteristic ◽  
Open Loop ◽  
Scale Factor ◽  
Drive System ◽  
Zero Bias ◽  
Relative Change

The effects of temperature variation on the system performance is discussed in this paper. The temperature characteristic of the natural frequency and quality factor is analyzed theoretically firstly. Then the simulation models of the open-loop drive system, the closed-loop drive system, the closed-loop sense system and the quadrature correction system are constructed to simulate the temperature characteristic of the scale factor and zero bias. The simulation results demonstrate the relative change of the scale factor in the closed-loop drive system, that is 1.35%, almost decreases by 67 times relative to the open-loop drive system and the variation of the zero bias in the closed-loop drive system, that is 0.2789°/s, almost decreases by 364 times relative to the open-loop drive system. At the same time, the relative change of the scale factor in the closed-loop sense system, that is 0.000029%, almost decreases by 46551 times relative to the closed-loop drive system. The variation of the zero bias in the closed-loop sense system, that is 1.2×10-11°/s, almost decreases by 2.3×1010 times relative to the closed-loop drive system, which shows the proposed method is feasible and correct.

Development and validation of a methodology for closed loop simulations of the driveline in railway vehicles

2017 ◽  
Vol 232 (6) ◽  
pp. 1625-1649
Author(s):  
Naim Kuka ◽  
Caterina Ariaudo ◽  
Riccardo Verardi ◽  
Andrea Dolcini
Keyword(s):  
Closed Loop ◽  
Mechanical Systems ◽  
Simulation Models ◽  
Ease Of Use ◽  
Rolling Stock ◽  
Railway Vehicle ◽  
Development Phases ◽  
Definition Of ◽  
Stock Solutions ◽  
Development And Validation

The optimisation of the dynamic behaviour of an electric railway vehicle cannot disregard the effects of the driveline in the traction and braking phases when the electrical and mechanical systems mutually exchange excitations and loads. To this end, complex and reliable models for the simulation of the whole chain, from the power collector to the wheel–rail contact including control algorithms, are necessary. Using detailed and validated standalone models of the electrical and mechanical systems, developed in Simulink and in SIMPACK, respectively, the authors have studied, tuned and validated a closed loop simulation methodology. While the standalone simulation models for different rolling stock solutions have been dealt in other papers and conferences, in this paper, the readers will find a description of the steps necessary to obtain realistic co-simulations based on Simulink and SIMPACK models operating in a closed loop and the definition of an opportune interface that guarantees modularity and ease of use. The paper analyses a synthesis of Alstom's experiences on driveline modelling followed by an overview of the new methodology and the of main development phases at the vehicle system or the sub-systems level. The model validation process, the results obtained and the range of applications of the methodology are also discussed.

Correlation of Pore Structure and Permeability by SEM-Image Analysis

1990 ◽  
Vol 48 (1) ◽  
pp. 428-429
Author(s):  
C. A. Callender ◽  
Wm. C. Dawson ◽  
J. J. Funk
Keyword(s):  
Image Analysis ◽  
Pore Structure ◽  
Imaging System ◽  
Pore Space ◽  
Simulation Models ◽  
Image Analyzer ◽  
Imaging Data ◽  
Sem Images ◽  
Thin Sections ◽  
Rock Types

The geometric structure of pore space in some carbonate rocks can be correlated with petrophysical measurements by quantitatively analyzing binaries generated from SEM images. Reservoirs with similar porosities can have markedly different permeabilities. Image analysis identifies which characteristics of a rock are responsible for the permeability differences. Imaging data can explain unusual fluid flow patterns which, in turn, can improve production simulation models.Analytical SchemeOur sample suite consists of 30 Middle East carbonates having porosities ranging from 21 to 28% and permeabilities from 92 to 2153 md. Engineering tests reveal the lack of a consistent (predictable) relationship between porosity and permeability (Fig. 1). Finely polished thin sections were studied petrographically to determine rock texture. The studied thin sections represent four petrographically distinct carbonate rock types ranging from compacted, poorly-sorted, dolomitized, intraclastic grainstones to well-sorted, foraminiferal,ooid, peloidal grainstones. The samples were analyzed for pore structure by a Tracor Northern 5500 IPP 5B/80 image analyzer and a 80386 microprocessor-based imaging system. Between 30 and 50 SEM-generated backscattered electron images (frames) were collected per thin section. Binaries were created from the gray level that represents the pore space. Calculated values were averaged and the data analyzed to determine which geological pore structure characteristics actually affect permeability.

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