Search results for "Computer science"

showing 10 items of 22367 documents

Automatic Take Off and Landing for UAS Flying in Turbulent Air - An EKF Based Procedure

2020

An innovative use of the Extended Kalman Filter (EKF) is proposed to perform automatic take off and landing by the rejection of disturbances due to turbulence. By using two simultaneously working Extended Kalman Filters, a procedure is implemented: the first filter, by using measurements gathered in turbulent air, estimates wind components; the second one, by using the estimated disturbances, obtains command laws that are able to reject disturbances. The fundamental innovation of such a procedure consists in the fact that the covariance matrices of process (Q) and measurement (R) noise are not treated as filter design parameters. In this way determined optimal values of the aforementioned m…

0209 industrial biotechnologyExtended Kalman filter020901 industrial engineering & automationTurbulenceComputer scienceControl theory0103 physical sciencesExtended Kalman FilterAdaptive control laws Automatic take off/landing Extended Kalman FilterSettore ING-IND/03 - Meccanica Del Volo02 engineering and technology01 natural sciences010305 fluids & plasmas
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On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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Interdisciplinary design methodology for systems of mechatronic systems focus on highly dynamic environmental applications

2017

This paper discusses a series of research challenges in the design of systems of mechatronic systems. A focus is given to environmental mechatronic applications within the chain “Renewable energy production — Smart grids — Electric vehicles”. For the considered mechatronic systems, the main design targets are formulated, the relations to state and parameter estimation, disturbance observation and rejection as well as control algorithms are highlighted. Finally, the study introduces an interdisciplinary design approach based on the intersectoral transfer of knowledge and collaborative experimental activities.

0209 industrial biotechnologyFocus (computing)Computer science020208 electrical & electronic engineering02 engineering and technologyMechatronics7. Clean energy020901 industrial engineering & automationSmart gridInterdisciplinary design13. Climate actionControl system0202 electrical engineering electronic engineering information engineeringSystems engineeringIECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
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Frequency-domain experimental setup for mechatronic and suspension system components

2021

This paper presents a frequency-domain experimental setup for modal analysis of mechatronic and suspension system components. Design, instrumentation and dynamic behavior of the one degree-of-freedom (DOF) system, capable of providing both, periodic and application-specific, excitation forces is described. The excitation is realized by an electromagnetic modal shaker with additional assembly and interface components designed and instrumented for frequency -domain analysis of vertical dynamics. Frequency response functions (FRFs) of the implemented system are experimentally measured and the associated basic model parameters are calculated, correspondingly identified. Accurate fit between the…

0209 industrial biotechnologyFrequency responseComputer scienceModal analysisAcousticsAutomatic frequency control02 engineering and technologyVehicle dynamicsMechanical system020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringFrequency domainDomain analysisShaker
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Influence of friction stir processing conditions on the manufacturing of Al-Mg-Zn-Cu alloy/boron carbide surface composite

2018

Abstract Surface metal matrix composites were synthesized via friction stir processing (FSP) on the surface of aluminium alloy 7075 (AA 7075) sheets by incorporating B4C particles (B4CP). The influence of tool rotational speeds, powder particle sizes, and change in tool travel direction between FSP passes on particle distribution and resulting properties were studied in detail. Change in tool travel direction, decreased tool rotation speed and fine B4C particles enhanced B4CP distribution and wear properties thereof. Wear resistance of composites were doubled on account of the B4CP distribution and resultant several strengthening mechanisms.

0209 industrial biotechnologyFriction stir processingMaterials scienceAlloyComposite number02 engineering and technologyBoron carbideengineering.materialIndustrial and Manufacturing EngineeringFriction stir processingchemistry.chemical_compound020901 industrial engineering & automationWearAluminium alloyAluminiumBoron carbideComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneStrengthening mechanisms of materialsMetals and AlloysRotational speed021001 nanoscience & nanotechnologyComputer Science ApplicationsMetal matrix compositechemistryModeling and Simulationvisual_artCeramics and Compositesvisual_art.visual_art_mediumengineeringParticleMaterials processing0210 nano-technology
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Introducing a Fuzzy-Pattern Operator in Fuzzy Time Series

2017

In this paper we introduce a fuzzy pattern operator and propose a new weighting fuzzy time series strategy for generating accurate ex-post forecasts. A decision support system is built for managing the weights of the information provided by the historical data, under a fuzzy time series framework. Our procedure analyzes the historical performance of the time series using different experiments, and it classifies the characteristics of the series through a fuzzy operator, providing a trapezoidal fuzzy number as one-step ahead forecast. We also present some numerical results related to the predictive performance of our procedure with time series of financial data sets.

0209 industrial biotechnologyFuzzy classificationSeries (mathematics)Computer science02 engineering and technologycomputer.software_genreDefuzzificationFuzzy logicWeighting020901 industrial engineering & automationFuzzy mathematics0202 electrical engineering electronic engineering information engineeringFuzzy numberFuzzy set operations020201 artificial intelligence & image processingData miningcomputer
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Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

2017

In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles are represented by two masses moving in opposite directions. The front structures of the vehicles are modeled by Kelvin elements, consisting of springs and dampers in parallel, and estimated as piecewise linear functions of displacements and velocities, respectively. To estimate and optimize the model parameters, a genetic algorithm approach is proposed. Finally, it is observed that the developed model can accurately reproduce the real kinematic results from the crash test…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceCrash02 engineering and technologyVehicle-to-vehicleDamperComputer Science::RoboticsEngineering (all)020901 industrial engineering & automation0203 mechanical engineeringControl theoryparameters estimationGenetic algorithmgenetic algorithmGeneral Materials ScienceSimulationvehicle-to-vehicle crashComputer Science (all)ModelingGeneral EngineeringCrash test020303 mechanical engineering & transportsMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringgenetic algorithm; Modeling; parameters estimation; vehicle-to-vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)lcsh:TK1-9971IEEE Access
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Nonlinear network dynamics for interconnected micro-grids

2018

Abstract This paper deals with transient stability in interconnected micro-grids. The main challenge is to understand the impact of the connectivity of the graph and model nonlinearities on transient and steady-state behavior of the system as a whole. The contribution of this paper is three-fold. First, we provide a robust classification of transient dynamics for different intervals of the parameters for a single micro-grid. We prove that underdamped dynamics and oscillations arise when the damping coefficient is below a certain threshold which we calculate explicitly as function of the product between the inertia coefficient and the synchronization parameter. Second, for interconnected mic…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceMechanical Engineeringmedia_common.quotation_subject010102 general mathematics02 engineering and technologyInertiaNetwork dynamics01 natural sciencesConsensus dynamicsNonlinear system020901 industrial engineering & automationControl and Systems EngineeringHomogeneity (physics)Statistical physics0101 mathematicsElectrical and Electronic EngineeringAbsolute stabilitymedia_commonSystems & Control Letters
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Flow Control of Fluid in Pipelines Using PID Controller

2019

In this paper, a PID controller is utilized in order to control the flow rate of the heavy oil in pipelines by controlling the vibration in a motor pump. A torsional actuator is placed on the motor pump in order to control the vibration on a motor and consequently controlling the flow rates in pipelines. The necessary conditions for the asymptotic stability of the proposed controller are validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PID controller in the control of flow rates in pipelines.

0209 industrial biotechnologyGeneral Computer ScienceComputer sciencePID controllercontrol engineeringfeedback02 engineering and technology01 natural sciencesFeedback010305 fluids & plasmas020901 industrial engineering & automationExponential stabilityControl theoryFluid flow controlPID control0103 physical sciencesGeneral Materials Science/dk/atira/pure/subjectarea/asjc/1700VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Lyapunov stabilityControl engineeringComputingGeneral EngineeringTorsion (mechanics)Volumetric flow ratePipeline transportVibrationFlow control (fluid)lcsh:Electrical engineering. Electronics. Nuclear engineeringActuator/dk/atira/pure/core/subjects/computinglcsh:TK1-9971Computer Science(all)Numerical stabilityIEEE Access
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Reliable diagnostics using wireless sensor networks

2019

International audience; Monitoring activities in industry may require the use of wireless sensor networks, for instance due to difficult access or hostile environment. But it is well known that this type of networks has various limitations like the amount of disposable energy. Indeed, once a sensor node exhausts its resources, it will be dropped from the network, stopping so to forward information about maybe relevant features towards the sink. This will result in broken links and data loss which impacts the diagnostic accuracy at the sink level. It is therefore important to keep the network's monitoring service as long as possible by preserving the energy held by the nodes. As packet trans…

0209 industrial biotechnologyGeneral Computer ScienceComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Network topology[SPI.AUTO]Engineering Sciences [physics]/Automatic[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingPrognostics and health management[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringAdaBoostElectroniquebusiness.industryNetwork packetGeneral Engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networksRandom forest[SPI.TRON]Engineering Sciences [physics]/Electronics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor node020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Gradient boosting[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputers in Industry
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