Search results for "SPEED"

showing 10 items of 876 documents

Sensorless Control of Induction-Motor Drive Based on Robust Kalman Filter and Adaptive Speed Estimation

2014

This paper deals with robust estimation of rotor flux and speed for sensorless control of motion control systems with an induction motor. Instead of using sixth-order extended Kalman filters (EKFs), rotor flux is estimated by means of a fourth-order descriptor-type robust KF, which explicitly takes into account motor parameter uncertainties, whereas the speed is estimated using a recursive least squares algorithm starting from the knowledge of the rotor flux itself. It is shown that the descriptor-type structure allows for a direct translation of parameter uncertainties into variations of the coefficients appearing in the model, and this improves the degree of robustness of the estimates. E…

Recursive least squares filterRobust kalman filterEstimatorKalman filterMotion controlSettore ING-INF/04 - AutomaticaControl and Systems EngineeringRobustness (computer science)Control theoryControl systemInduction motor robust Kalman filter adaptive speed estimation sensorless controlElectrical and Electronic EngineeringInduction motorMathematicsIEEE Transactions on Industrial Electronics
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Cost-effective Multiresolution schemes for Shock Computations

2009

Harten's Multiresolution framework has provided a fruitful environment for the development of adaptive codes for hyperbolic PDEs. The so-called cost-effective alternative [4,8,21] seeks to achieve savings in the computational cost of the underlying numerical technique, but not in the overall memory requirements of the code. Since the data structure of the basic algorithm does not need to be modified, it provides a set of tools that can be easily implemented into existing codes and that can be very useful in order to speed up the numerical simulations involved in the testing process that is associated to the development of new numerical schemes.
In this paper we present two different applica…

Reduction (complexity)Set (abstract data type)SpeedupComputer engineeringComputer scienceComputationProcess (computing)Code (cryptography)Data miningData structurecomputer.software_genrecomputerShock (mechanics)ESAIM: Proceedings
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The First Forty Years of a Technosol

2009

Abstract Soil formation is often a very slow process that requires thousands and even millions of years. Human influence, occasionally on a par with the function of climate or geological forces, can accelerate the process and can be viewed as a distinct soil forming factor. This paper describes a soil, Haplic Regosol, in which anthrosolization dominates the soil forming process. Man-made soils, Technosols, were stabilized with techniques of ecological engineering (crib walls). We measured the main soil properties and focused on the movement of water (the reduction of soil weight is the key factor in stabilizing these calcschists). The newly deposited debris, sheltered by anthropic intervent…

RegosolHydrologyecological engineering; speed of pedogenesis; tension infiltrometerecological engineeringspeed of pedogenesiscrib wall ecological engineering speed of pedogenesis tension infiltrometerSoil ScienceVegetationTechnosolDebrisNutrientPedogenesisSettore AGR/14 - Pedologiatension infiltrometerSoil waterEnvironmental scienceColonization
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A novel soft-stall power control for a small wind turbine

2017

In this paper, the problem of Soft-stall power control design for a small wind turbine is considered. Passive stalling and furling methods are widely used to limit the output power of small wind turbines at above-rated wind speed conditions. However, these methods have substantial limitations, for instance, related to tracking the maximum power at some wind speed levels, limited variable speed operation and introducing unbalanced forces on wind turbine blades. Soft-stall power control is a promising technique to overcome above limitations and improve the performance of small wind turbines. Small wind turbines have a comparatively low moment of inertia value, and it is possible to make fast …

Renewable energyEngineeringElectronic speed controlVector controlWind powerSmall wind turbineSmall wind turbine controlTurbine bladebusiness.industry020209 energy020208 electrical & electronic engineeringSliding-mode control02 engineering and technologyTurbineWind speedlaw.inventionPower optimizerControl and Systems EngineeringControl theorylawRenewable energy; Sliding-mode control; Small wind turbine control; Soft-stall power control; Electrical and Electronic Engineering; Control and Systems EngineeringSoft-stall power control0202 electrical engineering electronic engineering information engineeringElectrical and Electronic Engineeringbusiness2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)
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HIERARCHICAL MELTING OF ONE-DIMENSIONAL INCOMMENSURATE STRUCTURES

2016

We study the low—temperature properties of quasi one—dimensional, incommensurate structures which are described by a Frenkel—Kontorova—like model. A new type of renormalization method will be presented, which is determined by the continued fraction expansion of the incommensurability ratio ζ. (This method yields a hierarchy of renormalized Hamiltonians ϰ(n,p) describing the thermal behavior for temperatures T = O(T(n,p)), where T(n,p) follows from the continued fraction expansion of ζ. By means of this method the low—temperature specific heat c(T) and the static structure factor S(q) are calculated for fixed ζ. c(T) possesses a hierarchy of Schottky anomalies related to the rational approxi…

RenormalizationPhysicsCondensed matter physicsHierarchy (mathematics)ThermalOrders of magnitude (speed)Sensitivity (control systems)Type (model theory)Continued fractionStructure factor
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A Simple Software-based Resolver To Digital Conversion System

2022

In this paper, a software-based resolver to digital converter (RDC) is proposed. The hardware signal conditioning circuit is realized using common electronic components, while the algorithm can be implemented either using a microcontroller or an FPGA. Its validation and performance analysis has been carried out using an interior permanent magnet synchronous machine drive and, with comparative purposes, an LTN Servotechnik 1024 ppr incremental encoder. Tests show that the proposed RDC is characterized by a good dynamic response and precision, moreover, due to low computational demand, it can be successfully adopted without significant extra cost.

Resolver to Digital ConverterSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciResolverspeed measurementElectric DrivesIECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society
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Well-Balanced Adaptive Mesh Refinement for shallow water flows

2014

Well-balanced shock capturing (WBSC) schemes constitute nowadays the state of the art in the numerical simulation of shallow water flows. They allow to accurately represent discontinuous behavior, known to occur due to the non-linear hyperbolic nature of the shallow water system, and, at the same time, numerically maintain stationary solutions. In situations of practical interest, these schemes often need to be combined with some kind of adaptivity, in order to speed up computing times. In this paper we discuss what ingredients need to be modified in a block-structured AMR technique in order to ensure that, when combined with a WBSC scheme, the so-called 'water at rest' stationary solutions…

Rest (physics)Numerical AnalysisMathematical optimizationSpeedupPhysics and Astronomy (miscellaneous)Shock (fluid dynamics)Computer simulationAdaptive mesh refinementApplied MathematicsComputer Science ApplicationsComputational MathematicsWaves and shallow waterModeling and SimulationApplied mathematicsState (computer science)Shallow water equationsMathematicsJournal of Computational Physics
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An implicitly parallel EDA based on restricted boltzmann machines

2014

We present a parallel version of RBM-EDA. RBM-EDA is an Estimation of Distribution Algorithm (EDA) that models dependencies between decision variables using a Restricted Boltzmann Machine (RBM). In contrast to other EDAs, RBM-EDA mainly uses matrix-matrix multiplications for model estimation and sampling. Hence, for implementation, standard libraries for linear algebra can be used. This allows an easy parallelization and leads to a high utilization of parallel architectures. The probabilistic model of the parallel version and the version on a single core are identical. We explore the speedups gained from running RBM-EDA on a Graphics Processing Unit. For problems of bounded difficulty like …

Restricted Boltzmann machineSpeedupEstimation of distribution algorithmArtificial neural networkComputer scienceLinear algebraGraphics processing unitBoltzmann machineParallel computingProceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation
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Search for neutrino-induced particle showers with IceCube-40

2013

We report on the search for neutrino-induced particle-showers, so-called cascades, in the IceCube-40 detector. The data for this search was collected between April 2008 and May 2009 when the first 40 IceCube strings were deployed and operational. Three complementary searches were performed, each optimized for different energy regimes. The analysis with the lowest energy threshold (2 TeV) targeted atmospheric neutrinos. A total of 67 events were found, consistent with the expectation of 41 atmospheric muons and 30 atmospheric neutrino events. The two other analyses targeted a harder, astrophysical neutrino flux. The analysis with an intermediate threshold of 25 TeV lead to the observation of…

SELECTIONAMANDANuclear and High Energy PhysicsParticle physicsPhysics::Instrumentation and DetectorsSolar neutrinoAstrophysics::High Energy Astrophysical PhenomenaFOS: Physical sciencesCosmic rayCASCADESSCATTERINGddc:530High Energy Astrophysical Phenomena (astro-ph.HE)PhysicsSPECTRUMMuonICEHigh Energy Physics::PhenomenologySolar neutrino problemMODELPhysics and AstronomyNeutrino detector13. Climate actionMeasurements of neutrino speedHigh Energy Physics::ExperimentNeutrinoAstrophysics - High Energy Astrophysical PhenomenaEvent (particle physics)SYSTEM
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A Learning Automata Local Contribution Sampling Applied to Hydropower Production Optimisation

2017

Learning Automata (LA) is a powerful approach for solving complex, non-linear and stochastic optimisation problems. However, existing solutions struggle with high-dimensional problems due to slow convergence, arguably caused by the global nature of feedback. In this paper we introduce a novel Learning Automata (LA) scheme to attack this challenge. The scheme is based on a parallel form of Local Contribution Sampling (LCS), which means that the LA receive individually directed feedback, designed to speed up convergence. Furthermore, our scheme is highly decentralized, allowing parallel execution on GPU architectures. To demonstrate the power of our scheme, the LA LCS is applied to hydropower…

Scheme (programming language)Mathematical optimizationEngineeringSpeedupLearning automatabusiness.industrySampling (statistics)Machine learningcomputer.software_genrePower (physics)Range (mathematics)Convergence (routing)Reinforcement learningArtificial intelligencebusinesscomputercomputer.programming_language
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