Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3938
2017-09-25T17:20:58ZDevelopment of gas sensors based in photonic cristal slabs
http://hdl.handle.net/2117/107826
Development of gas sensors based in photonic cristal slabs
Yoosefi, Oraman; Yahyapour, MJ; Segura García, Daniel; Vega Bru, Didac; Dios Otín, Víctor Federico; Rodríguez Martínez, Ángel
This work describes an innovative application of structures of photonic crystal slabs for gas sensors. Structures consisting in double ring have been studied by simulation. Their working mechanism is based in the effect of a given target gas in the pores of the slab. The effect pursued is to translate the variation of refraction index of the gas inside the pores into a shift in the position of peaks of transmission associated to resonances in the device
2017-09-20T13:38:01ZYoosefi, OramanYahyapour, MJSegura García, DanielVega Bru, DidacDios Otín, Víctor FedericoRodríguez Martínez, ÁngelThis work describes an innovative application of structures of photonic crystal slabs for gas sensors. Structures consisting in double ring have been studied by simulation. Their working mechanism is based in the effect of a given target gas in the pores of the slab. The effect pursued is to translate the variation of refraction index of the gas inside the pores into a shift in the position of peaks of transmission associated to resonances in the deviceVideo streaming in uplink mode using WiMAX system - Experimental results
http://hdl.handle.net/2117/107761
Video streaming in uplink mode using WiMAX system - Experimental results
Ruiz, German; Pubill, David; Bader, F.; Ortega Redondo, Juan Antonio
The paper explores the technical limits and possibilities to transmit live audiovisual contents in the uplink mode by means of IP networks based on WiMAX broadband system using a professional camera. A previous evaluation of the WiMAX link performances in real urban environments is tackled, and then, obtained results used to implement an Automatic Video Coding Rate Adjustment (AVCRA) algorithm that adaptively adjusts the video codec parameters to the experienced wireless channel capacity. The experimental network also contains a designed antenna small enough to be incorporated in the camera. Special considerations regarding the radiation diagram have been taken into account for not affecting the head of the proper cameraman. Obtained experimental WiMAX throughput in function of the signal to noise ratio, and the Peak signal to noise ratio (PSNR) levels demonstrated the feasibility of live video links over WiMAX networks in urban environment.
2017-09-19T10:12:15ZRuiz, GermanPubill, DavidBader, F.Ortega Redondo, Juan AntonioThe paper explores the technical limits and possibilities to transmit live audiovisual contents in the uplink mode by means of IP networks based on WiMAX broadband system using a professional camera. A previous evaluation of the WiMAX link performances in real urban environments is tackled, and then, obtained results used to implement an Automatic Video Coding Rate Adjustment (AVCRA) algorithm that adaptively adjusts the video codec parameters to the experienced wireless channel capacity. The experimental network also contains a designed antenna small enough to be incorporated in the camera. Special considerations regarding the radiation diagram have been taken into account for not affecting the head of the proper cameraman. Obtained experimental WiMAX throughput in function of the signal to noise ratio, and the Peak signal to noise ratio (PSNR) levels demonstrated the feasibility of live video links over WiMAX networks in urban environment.Multiobjective optimization of a Parallel Plug-in Hybrid Electric Vehicle considering the fuel consumption, acceleration and elasticity on the vehicle performance
http://hdl.handle.net/2117/107753
Multiobjective optimization of a Parallel Plug-in Hybrid Electric Vehicle considering the fuel consumption, acceleration and elasticity on the vehicle performance
Torres, Oriol; Bader, Benjamin; Romeral Martínez, José Luis; Lux, G.; Ortega Redondo, Juan Antonio
The objective of this paper is to give recommendations for the component sizing of a Parallel Plug-in Hybrid Electric Vehicle (PHEV) studying the influence of the Electric Motor (EM) size, Final Drive ratio (FD), the Battery Capacity (BAT) and the Internal Combustion Engine (ICE). A multiple options for the size of the components are in the market and conflicting on the vehicle efficiency and functionality. Their selection is very important in order to achieve reduced fuel consumption and assure the vehicle performance with the minimum cost. This study explains a proposal methodology to solve this problem, firstly doing a problem model approach, then reducing his complexity doing a parameterization and finally analyzing the optimal variables for the multiple objectives. In this publication the component sizing is analysed using the Response Surface Methodology (RSM) of the Design of Experiments (DoE) technique. The parallel HEV has been parameterized and simulated to obtain the fuel consumption over NEDC driving cycle using Modelica/Dymola [2]. This tool is very useful for modeling and simulating complex integrated systems, for the automotive, aerospace, robotics and other applications. This paper contains an introduction, a brief explanation of the Parallel HEV modeled, a description of the all electric range operating strategy based on a rules, an explanation of the RSM method, the simulation results, and finally the conclusions of this study.
2017-09-19T07:44:17ZTorres, OriolBader, BenjaminRomeral Martínez, José LuisLux, G.Ortega Redondo, Juan AntonioThe objective of this paper is to give recommendations for the component sizing of a Parallel Plug-in Hybrid Electric Vehicle (PHEV) studying the influence of the Electric Motor (EM) size, Final Drive ratio (FD), the Battery Capacity (BAT) and the Internal Combustion Engine (ICE). A multiple options for the size of the components are in the market and conflicting on the vehicle efficiency and functionality. Their selection is very important in order to achieve reduced fuel consumption and assure the vehicle performance with the minimum cost. This study explains a proposal methodology to solve this problem, firstly doing a problem model approach, then reducing his complexity doing a parameterization and finally analyzing the optimal variables for the multiple objectives. In this publication the component sizing is analysed using the Response Surface Methodology (RSM) of the Design of Experiments (DoE) technique. The parallel HEV has been parameterized and simulated to obtain the fuel consumption over NEDC driving cycle using Modelica/Dymola [2]. This tool is very useful for modeling and simulating complex integrated systems, for the automotive, aerospace, robotics and other applications. This paper contains an introduction, a brief explanation of the Parallel HEV modeled, a description of the all electric range operating strategy based on a rules, an explanation of the RSM method, the simulation results, and finally the conclusions of this study.Predictive real-time energy management strategy for PHEV using lookup-table-based Dynamic Programming
http://hdl.handle.net/2117/107752
Predictive real-time energy management strategy for PHEV using lookup-table-based Dynamic Programming
Bader, Benjamin; Torres, Oriol; Ortega Redondo, Juan Antonio; Lux, G.; Romeral Martínez, José Luis
This paper proposes a predictive real time energy management strategy for plug-in- hybrid electric vehicles (PHEV) based on an adaptation of Dynamic Programming (DP). The computational load of predictive real
time strategies increases with the trip length. Therefore, for online computation by the onboard computer, they strongly depend on an efficient implementation. To reduce computation cost, current approaches for predictive strategies rely on strongly simplified intern vehicle models. The here proposed energy management strategy (EMS) uses a different approach, which is based on the use of precalculated lookup tables for the different operating points of the powertrain. This precalculation make the use of more exact vehicle models possible by using more detailed loss models of the powertrain components. The proposed EMS separates the optimization process, i.e. the calculation of the power distribution to engine and electric motor and gear in two calculation steps. The first step, which is computationally more intensive, has only to be executed once for a certain vehicle configuration. The obtained results are saved in lookup tables to avoid a later recomputation. In the second step, which is done online in the vehicle, a shortest path search algorithm is employed which is based on the predicted vehicle speed and rode slope of the trip. Techniques are integrated which decrease the rounding error caused by the use of lookup tables. The resulting difference of the consumed fuel mass between the lookup table based DP and standard DP is smaller than
0.03% by an approximately 50 times faster calculation. Using the proposed algorithm, even complex intern vehicle models do not affect the online computation cost and can be implemented by real time strategies.
2017-09-19T07:19:17ZBader, BenjaminTorres, OriolOrtega Redondo, Juan AntonioLux, G.Romeral Martínez, José LuisThis paper proposes a predictive real time energy management strategy for plug-in- hybrid electric vehicles (PHEV) based on an adaptation of Dynamic Programming (DP). The computational load of predictive real
time strategies increases with the trip length. Therefore, for online computation by the onboard computer, they strongly depend on an efficient implementation. To reduce computation cost, current approaches for predictive strategies rely on strongly simplified intern vehicle models. The here proposed energy management strategy (EMS) uses a different approach, which is based on the use of precalculated lookup tables for the different operating points of the powertrain. This precalculation make the use of more exact vehicle models possible by using more detailed loss models of the powertrain components. The proposed EMS separates the optimization process, i.e. the calculation of the power distribution to engine and electric motor and gear in two calculation steps. The first step, which is computationally more intensive, has only to be executed once for a certain vehicle configuration. The obtained results are saved in lookup tables to avoid a later recomputation. In the second step, which is done online in the vehicle, a shortest path search algorithm is employed which is based on the predicted vehicle speed and rode slope of the trip. Techniques are integrated which decrease the rounding error caused by the use of lookup tables. The resulting difference of the consumed fuel mass between the lookup table based DP and standard DP is smaller than
0.03% by an approximately 50 times faster calculation. Using the proposed algorithm, even complex intern vehicle models do not affect the online computation cost and can be implemented by real time strategies.A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
http://hdl.handle.net/2117/107536
A methodology for energy prediction and optimization of a system based on the Energy Hub Concept using Particle Swarms
Kampouropoulos, Konstantinos; Andrade, Fabio; Cárdenas Araújo, Juan José; Romeral Martínez, José Luis
In this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference System. An optimization method based on Particle Swarms has been used to minimize the energy cost of a system with multiple sources such as, photovoltaic, electrical grid and natural gas.
2017-09-08T11:48:09ZKampouropoulos, KonstantinosAndrade, FabioCárdenas Araújo, Juan JoséRomeral Martínez, José LuisIn this paper, a methodology for the energy prediction for the different consumptions of a system based in the Energy Hub concept is presented. The methodology that has been used for the energy prediction is based on an Adaptive Neuro-Fuzzy Inference System. An optimization method based on Particle Swarms has been used to minimize the energy cost of a system with multiple sources such as, photovoltaic, electrical grid and natural gas.An energy prediction method using adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
http://hdl.handle.net/2117/107522
An energy prediction method using adaptive Neuro-Fuzzy Inference System and Genetic Algorithms
Kampouropoulos, Konstantinos; Cárdenas Araújo, Juan José; Giacometto Torres, Francisco; Romeral Martínez, José Luis
This document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.
2017-09-08T10:21:57ZKampouropoulos, KonstantinosCárdenas Araújo, Juan JoséGiacometto Torres, FranciscoRomeral Martínez, José LuisThis document presents an energy forecast methodology using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithms (GA). The GA has been used for the selection of the training inputs of the ANFIS in order to minimize the training result error. The presented algorithm has been installed and it is being operating in an automotive manufacturing plant. It periodically communicates with the plant to obtain new information and update the database in order to improve its training results. Finally the obtained results of the algorithm are used in order to provide a short-term load forecasting for the different modeled consumption processes.Comparison between sine wave fitting and zero- crossing methods applied to QCM impedance measurements
http://hdl.handle.net/2117/107508
Comparison between sine wave fitting and zero- crossing methods applied to QCM impedance measurements
Chávez Domínguez, Juan Antonio; García Hernández, Miguel J.; Millán Blasco, Oliver; Tur Gaspar, Ignasi; Turó Peroy, Antonio; Amer, Miquel Àngel; Salazar Soler, Jorge
This paper presents a comparison between two
algorithms for sinusoidal signal characterization applied to QCM
impedance measurements. These algorithms are the zero crossing
and peak detection method and the 7 parameters sine-fitting
method. Simulation and experimental results from both methods
are shown in order to determine which method provides the best
performance in terms of accuracy. Obtaining a precise value of
the QCM impedance depends directly on the precise
measurement of the amplitude and phase of two sinusoidal
voltages. It was found that the sine-fitting method achieves better
results without an excessive associated computational burden.
These results will be applied to the development of a new
technique for biofilm characterization based on multiple QCM
impedance measurements.
2017-09-07T14:18:55ZChávez Domínguez, Juan AntonioGarcía Hernández, Miguel J.Millán Blasco, OliverTur Gaspar, IgnasiTuró Peroy, AntonioAmer, Miquel ÀngelSalazar Soler, JorgeThis paper presents a comparison between two
algorithms for sinusoidal signal characterization applied to QCM
impedance measurements. These algorithms are the zero crossing
and peak detection method and the 7 parameters sine-fitting
method. Simulation and experimental results from both methods
are shown in order to determine which method provides the best
performance in terms of accuracy. Obtaining a precise value of
the QCM impedance depends directly on the precise
measurement of the amplitude and phase of two sinusoidal
voltages. It was found that the sine-fitting method achieves better
results without an excessive associated computational burden.
These results will be applied to the development of a new
technique for biofilm characterization based on multiple QCM
impedance measurements.Design of a broadband CMOS RF power amplifier to establish device-circuit aging correlations
http://hdl.handle.net/2117/107375
Design of a broadband CMOS RF power amplifier to establish device-circuit aging correlations
Barajas Ojeda, Enrique; Mateo Peña, Diego; Aragonès Cervera, Xavier; Crespo Yepes, Albert; Rodríguez Martínez, Rosana; Martin Martínez, Javier; Nafría Maqueda, Montserrat
This paper presents the design of a Broadband CMOS RF Power Amplifier, suitable to be stressed at circuit level but with the possibility to be measured both at circuit and at device level. It allows establishing a relation between the degradation of circuit's RF performances and those of its individual devices parameters. The test structure, measurement set-up and procedure are described in detail.
2017-09-04T16:44:18ZBarajas Ojeda, EnriqueMateo Peña, DiegoAragonès Cervera, XavierCrespo Yepes, AlbertRodríguez Martínez, RosanaMartin Martínez, JavierNafría Maqueda, MontserratThis paper presents the design of a Broadband CMOS RF Power Amplifier, suitable to be stressed at circuit level but with the possibility to be measured both at circuit and at device level. It allows establishing a relation between the degradation of circuit's RF performances and those of its individual devices parameters. The test structure, measurement set-up and procedure are described in detail.Characteristics of Induction Motor Drives with Torque Maximization in Field Weakening Region
http://hdl.handle.net/2117/107359
Characteristics of Induction Motor Drives with Torque Maximization in Field Weakening Region
Pryymak, Bogdan; Moreno Eguilaz, Juan Manuel
2017-09-04T11:18:22ZPryymak, BogdanMoreno Eguilaz, Juan ManuelINTMARSIS: A Real Time Seafloor Seismic Observatory
http://hdl.handle.net/2117/107285
INTMARSIS: A Real Time Seafloor Seismic Observatory
Trullols Farreny, Enric; Roset Juan, Francesc Xavier
In this paper we present the current status of a marine seismometer to be deployed in the Alboran Sea in September 2016. The design consists of a seafloor unit and a
surface buoy connected by a cable. This design pretends to be an alternative to OBS (Ocean Bottom Seismometer) in shallow waters (depth < 500 m). In contrast to OBS, a physical connection between the seafloor unit and the surface buoy allows real time data processing and offshore communication.
Even though an umbilical cable seems to be the more obvious alternative, the low energetic consumption of the seafloor unit and the recent improvements in inductive communications open a very interesting new possibility using steel cables.
2017-09-01T09:43:45ZTrullols Farreny, EnricRoset Juan, Francesc XavierIn this paper we present the current status of a marine seismometer to be deployed in the Alboran Sea in September 2016. The design consists of a seafloor unit and a
surface buoy connected by a cable. This design pretends to be an alternative to OBS (Ocean Bottom Seismometer) in shallow waters (depth < 500 m). In contrast to OBS, a physical connection between the seafloor unit and the surface buoy allows real time data processing and offshore communication.
Even though an umbilical cable seems to be the more obvious alternative, the low energetic consumption of the seafloor unit and the recent improvements in inductive communications open a very interesting new possibility using steel cables.