Search results for "Control system"

showing 10 items of 971 documents

Fuzzy Integral Imaging Camera Calibration for Real Scale 3D Reconstructions

2014

In this paper, we present a quantitative analysis of the error in the reconstruction of a 3D scene which has been captured with Synthetic Aperture Integral Imaging system. The 3D information is obtained from 2D images for which the camera parameters are unknown. The model used for calibrating the Integral Imaging camera setup is based on fuzzy systems. These systems provide the opportunity for modeling of conditions which are inherently imprecisely defined. We demonstrate that the error in the 3D reconstruction not only depends on the number of cameras, but also to their relative positions. Our model is applied to a set of images captured experimentally from a real object. A true-color real…

Synthetic aperture radarIntegral imagingbusiness.industryComputer science3D reconstructionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFuzzy control systemIterative reconstructionCondensed Matter PhysicsFuzzy logicElectronic Optical and Magnetic MaterialsCamera auto-calibrationComputer Science::Computer Vision and Pattern RecognitionComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessCamera resectioningJournal of Display Technology
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Integration of GMR sensors with different technologies

2016

Less than thirty years after the giant magnetoresistance (GMR) effect was described, GMR sensors are the preferred choice in many applications demanding the measurement of low magnetic fields in small volumes. This rapid deployment from theoretical basis to market and state-of-the-art applications can be explained by the combination of excellent inherent properties with the feasibility of fabrication, allowing the real integration with many other standard technologies. In this paper, we present a review focusing on how this capability of integration has allowed the improvement of the inherent capabilities and, therefore, the range of application of GMR sensors. After briefly describing the …

SystemEngineeringTechnologyPerformanceIntegrationThermal agitationintegration02 engineering and technologyMicroarraylcsh:Chemical technology01 natural sciencesBiochemistryAnalytical ChemistryGMR; integration; technology:Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors [Àrees temàtiques de la UPC]MicroelectronicsAtomic and Molecular Physicslcsh:TP1-1185Instrumentation010302 applied physicsElectrical engineeringGMRDetectors021001 nanoscience & nanotechnologyFunctional systemAtomic and Molecular Physics and Optics:Enginyeria electrònica::Microelectrònica [Àrees temàtiques de la UPC]CMOStechnology0210 nano-technologyCmosGiant magnetoresistanceMicroelectrònicaNoise (electronics)ArticleFabricationLow temperature deposition0103 physical sciencesElectronic engineeringElectronicsSensitivity (control systems)Electrical and Electronic Engineeringbusiness.industryGiant magnetoresistance sensorsMultilayersNanoparticlesand OpticsElectronicsbusinessGMR; Integration; Technology; Analytical Chemistry; Atomic and Molecular Physics and Optics; Biochemistry; Electrical and Electronic Engineering
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Comparative study of several programs used in the potentiometric evaluation of equilibrium constants including an error sensitivity analysis

1989

Abstract The programs MINIQUAD, MINIPOT, SUPERQUAD and PHCONST are applied to the evaluation of the protonation constants of several hypothetical polyprotic substances using simulated titrations, and the precision and accuracy of the results are discussed and compared. When statistical weights are used the results are very similar, the accuracy being better with PHCONST. Error sensitivity analysis was used as a means of establishing the influence of a systematic error of an experimental variable on the accuracy of the determination. An algorithm for the accurate calculation of error sensitivities is proposed and checked. Error sensitivities can be used to make a choice between the various m…

Systematic errorAccuracy and precisionVariable (computer science)ChemistryPotentiometric titrationEnvironmental ChemistryMinificationSensitivity (control systems)BiochemistryAlgorithmSpectroscopyEquilibrium constantAnalytical ChemistryAnalytica Chimica Acta
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Compressed electroweakino spectra at the LHC

2013

In this work, we examine the sensitivity of monojet searches at the LHC to directly produced charginos and neutralinos (electroweakinos) in the limit of small mass splitting, where the traditional multilepton plus missing energy searches loose their sensitivity. We first recast the existing 8 TeV monojet search at CMS in terms of a SUSY simplified model with only light gauginos (winos and binos) or only light higgsinos. The current searches are not sensitive to MSSM like production cross sections, but would be sensitive to models with 2-20 times enhanced production cross section, for particle masses between 100 GeV and 250 GeV. Then we explore the sensitivity in the 14 TeV run of the LHC. H…

Systematic errorPhysicsNuclear and High Energy PhysicsParticle physicsLarge Hadron ColliderMissing energyHigh Energy Physics::PhenomenologyFOS: Physical sciencesSupersymmetryParameter spaceSpectral lineHigh Energy Physics - Experiment3. Good healthHigh Energy Physics - PhenomenologyHigh Energy Physics - Experiment (hep-ex)High Energy Physics - Phenomenology (hep-ph)High Energy Physics::ExperimentSensitivity (control systems)Particle Physics - PhenomenologyLeptonJournal of High Energy Physics
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Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland

2021

The main purpose of this study is to investigate the relationships between key sources of air pollutant emissions (sources of energy production, factories which are particularly harmful to the environment, the fleets of cars, environmental protection expenditure) and the main environmental air pollution (SO2, NOx, CO and PM) in Poland. Models based on MLP neural networks were used as predictive models. Global sensitivity analysis was used to demonstrate the significant impact of individual network input variables on the output variable. To verify the effectiveness of the models created, the actual data were compared with the data obtained through modelling. Projected courses of changes in t…

TechnologyControl and OptimizationPollutant emissionsair pollutionAir pollutionEnergy Engineering and Power TechnologyMLPmedicine.disease_causefuel combustionmodellingEconometricsmedicineProduction (economics)Sensitivity (control systems)Electrical and Electronic EngineeringEngineering (miscellaneous)PollutanttransportationArtificial neural networkRenewable Energy Sustainability and the EnvironmentTemissionsneural networkshard coalVariable (computer science)Key (cryptography)Environmental scienceenergy industryEnergy (miscellaneous)Energies
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Quantifying the Potential Economic Benefits of Flexible Industrial Demand in the European Power System

2018

The envisaged decarbonization of the European power system introduces complex techno-economic challenges to its operation and development. Demand flexibility can significantly contribute in addressing these challenges and enable a cost-effective transition to the low-carbon future. Although extensive previous work has analyzed the impacts of residential and commercial demand flexibility, the respective potential of the industrial sector has not yet been thoroughly investigated despite its large size. This paper presents a novel, whole-system modeling framework to comprehensively quantify the potential economic benefits of flexible industrial demand (FID) for the European power system. This …

TechnologyElectrical & Electronic EngineeringComputer science020209 energyDistribution (economics)Information System02 engineering and technology09 EngineeringENERGY MANAGEMENT SCHEMEElectric power systemAutomation & Control SystemsEngineeringDemand flexibilityCARBON ELECTRICITY SYSTEMS10 Technology0202 electrical engineering electronic engineering information engineeringCapital costElectrical and Electronic EngineeringOperating costFlexibility (engineering)08 Information And Computing Sciencesindustrial demandScience & Technologyrenewable generationbusiness.industryFACILITIESComputer Science Applications1707 Computer Vision and Pattern RecognitionEnvironmental economicsInvestment (macroeconomics)Computer Science Applicationspower systemWork (electrical)Control and Systems EngineeringSecondary sector of the economyEngineering IndustrialComputer ScienceComputer Science Interdisciplinary ApplicationsSIDE MANAGEMENTbusinessoptimizationSTORAGEInformation SystemsIEEE Transactions on Industrial Informatics
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The readout system and the trigger algorithm implementation for the UFFO Pathfinder

2012

Since the launch of the SWIFT, Gamma-Ray Bursts (GRBs) science has been much progressed. Especially supporting many measurements of GRB events and sharing them with other telescopes by the Gamma-ray Coordinate Network (GCN) have resulted the richness of GRB events, however, only a few of GRB events have been measured within a minute after the gamma ray signal. This lack of sub-minute data limits the study for the characteristics of the UV-optical light curve of the short-hard type GRB and the fast-rising GRB. Therefore, we have developed the telescope named the Ultra-Fast Flash Observatory (UFFO) Pathfinder, to take the sub-minute data for the early photons from GRB. The UFFO Pathfinder has…

TelescopePhysicsMicroprocessorPathfinderData acquisitionlawObservatoryControl systemField-programmable gate arrayGamma-ray burstAlgorithmlaw.inventionSPIE Proceedings
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Design of temperature control system using conventional PID and Intelligent Fuzzy Logic controller

2015

In this paper, we present the design of temperature control for industrial heat treating furnace by using Intelligent Fuzzy Logic and PID controllers. Temperature control is important in heating processes as it can disqualify materials in terms of their physical properties when not well performed. Obviously PID temperature controller is the most used in industries to control non-linear processes. Consequently, it has been found that the output response from Fuzzy Logic is very accurate in terms of overshoot and steady state error when compared to that of PID. Moreover, both temperature controllers are modeled and simulated using MATLAB software.

Temperature controlController; Furnace; Fuzzy Logic; PID; Temperature; Artificial Intelligence; Control and Optimization; Discrete Mathematics and CombinatoricsControl and OptimizationComputer sciencePIDTemperaturePID controllerFurnaceControl engineeringFuzzy control systemFuzzy logicControllerFuzzy LogicControl theoryArtificial IntelligenceControl systemOvershoot (signal)Process controlDiscrete Mathematics and Combinatorics
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Speed control of double-sided linear induction motors for automated manufacturing systems

2014

The double-sided linear induction motor (DLIM) is acquiring a significant relevance in the application of automated manufacturing systems. For this purpose, the modeling, simulation and determination of the parameters of a double-sided linear induction motor is presented in this paper. Furthermore, the DLIM constant voltage/frequency speed control system for this application is here described. In order to verify the performance of the proposed system, a suitable test bench for the DLIM motor is set-up. From the good agreement shown by the comparison between measured and simulated results, it can be stated that the DLIM model and the speed control system is successfully validated. © 2014 IEE…

Test benchEngineeringElectronic speed controlbusiness.industryspeed controlSpeed control systemmodelingSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciManufacturing systemsControl theoryLinear induction motorConstant voltagebusinessSettore ING-INF/07 - Misure Elettriche E Elettronichelinear induction motor
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A novel correction method for a low cost sensorless control system of IPMSM electrical drives

2008

In this paper a novel correction method for sensorless Field Oriented Control System of Brushless internal Permanent Magnet Electrical Drives is introduced discussed and experimentally validated. The novelty of this control system is the estimation of rotor speed and angular position is based on the back electromotive force space vector determination, without the aid of voltage probes. Actual voltage signals needed for estimation are replaced with the reference ones given by the current controller. This choice obviously introduces an error that have been vanished by means of a new compensating function or with the aid of data coming from experimental tests. Experimental verifications of the…

Test benchVector controlAngular displacementControl theoryComputer scienceMagnetControl systemTorqueControl engineeringCounter-electromotive forceVoltage2008 IEEE International Symposium on Industrial Electronics
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