454 research outputs found

    Sensorless Control for Switched Reluctance Motor Drives

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    The thesis presents the work carried out on two methods for indirect sensing of the rotor position in switched reluctance motors. In the first method, PWM voltage control is used to control the motor. The method, called current gradient sensorless method, uses the change of the derivative of the phase current to detect the position where a rotor pole and stator pole start to overlap, giving one position update per energy conversion stroke. As no a priori knowledge of motor parameters is required (except for the numbers of stator and rotor poles), the method is applicable to most switched reluctance motor topologies in a wide power and speed range and for several inverter topologies. A single current sensor and detection stage is enough to drive a multiphase SRM. To start up the motor a feedforward method is used which assures robust start-up from stand-still up to a minimum speed even under load. The method is comparable to the back-EMF position estimation for brushless DC motors in performance and cost. The major contributions to the current gradient sensorless method are its real-time implementation, its experimental test and the reduction of current sensors and detection stages from three to one. The second method proposes a principle of high resolution sensorless position estimation for a switched reluctance motor drive, using either flux linkage or current to correct for errors in rotor position. The estimation algorithm makes full use of the nonlinear magnetic characteristics of the SRM through correlation of current, flux linkage and rotor position. The estimation model is simple, but with no loss in accuracy, leading to few real-time computations. Furthermore, a criterion is proposed to choose the phase most suited for position estimation when more than one phase conducts. The algorithm can also predict flux linkage, which in turn may be used to correct the position estimate further, and the features of this are discussed. The major contributions to this algorithm are the use of a simpler model for the observer, the introduction of a novel method to estimate the rotor position form the best phase from all conducting phases, and the experimental validation of the algorithm. Simulation and experimental results, which include steady-state with and without load, and dynamic transient tests, are presented, and confirm the concept and the robust functionality of both methods. The detailed operation and real-time implementation of both methods are described. However, it should be noted that these methods present advantages and disadvantages as other methods proposed before in the literature. Therefore, it is fair to say that these methods cannot replace in fully the mechanical sensor such as encoder or resolver, however they can offer a simpler and a better way than previous methods to estimate the rotor position. A second topic covered in this thesis is a functionality study of the classic switched reluctance motor inverter utilising a resonant dc-link to provide current regulation with zero-voltage switching. Although this topic is not directly related to the major part of the thesis on sensorless control, it is important in the wider study of power electronic converters for SR machines, and could form the basis for extended research in the combination of soft switching and sensorless control

    TXS 0506+056 with Updated IceCube Data

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    Past results from the IceCube Collaboration have suggested that the blazar TXS 0506+056 is a potential source of astrophysical neutrinos. However, in the years since there have been numerous updates to event processing and reconstruction, as well as improvements to the statistical methods used to search for astrophysical neutrino sources. These improvements in combination with additional years of data have resulted in the identification of NGC 1068 as a second neutrino source candidate. This talk will re-examine time-dependent neutrino emission from TXS 0506+056 using the most recent northern-sky data sample that was used in the analysis of NGC 1068. The results of using this updated data sample to obtain a significance and flux fit for the 2014 TXS 0506+056 "untriggered" neutrino flare are reported

    Conditional normalizing flows for IceCube event reconstruction

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    Galactic Core-Collapse Supernovae at IceCube: “Fire Drill” Data Challenges and follow-up

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    The next Galactic core-collapse supernova (CCSN) presents a once-in-a-lifetime opportunity to make astrophysical measurements using neutrinos, gravitational waves, and electromagnetic radiation. CCSNe local to the Milky Way are extremely rare, so it is paramount that detectors are prepared to observe the signal when it arrives. The IceCube Neutrino Observatory, a gigaton water Cherenkov detector below the South Pole, is sensitive to the burst of neutrinos released by a Galactic CCSN at a level >10σ. This burst of neutrinos precedes optical emission by hours to days, enabling neutrinos to serve as an early warning for follow-up observation. IceCube\u27s detection capabilities make it a cornerstone of the global network of neutrino detectors monitoring for Galactic CCSNe, the SuperNova Early Warning System (SNEWS 2.0). In this contribution, we describe IceCube\u27s sensitivity to Galactic CCSNe and strategies for operational readiness, including "fire drill" data challenges. We also discuss coordination with SNEWS 2.0

    All-Energy Search for Solar Atmospheric Neutrinos with IceCube

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    The interaction of cosmic rays with the solar atmosphere generates a secondary flux of mesons that decay into photons and neutrinos – the so-called solar atmospheric flux. Although the gamma-ray component of this flux has been observed in Fermi-LAT and HAWC Observatory data, the neutrino component remains undetected. The energy distribution of those neutrinos follows a soft spectrum that extends from the GeV to the multi-TeV range, making large Cherenkov neutrino telescopes a suitable for probing this flux. In this contribution, we will discuss current progress of a search for the solar neutrino flux by the IceCube Neutrino Observatory using all available data since 2011. Compared to the previous analysis which considered only high-energy muon neutrino tracks, we will additionally consider events produced by all flavors of neutrinos down to GeV-scale energies. These new events should improve our analysis sensitivity since the flux falls quickly with energy. Determining the magnitude of the neutrino flux is essential, since it is an irreducible background to indirect solar dark matter searches

    Recent neutrino oscillation results with the IceCube experiment

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    The IceCube South Pole Neutrino Observatory is a Cherenkov detector instrumented in a cubic kilometer of ice at the South Pole. IceCube’s primary scientific goal is the detection of TeV neutrino emissions from astrophysical sources. At the lower center of the IceCube array, there is a subdetector called DeepCore, which has a denser configuration that makes it possible to lower the energy threshold of IceCube and observe GeV-scale neutrinos, opening the window to atmospheric neutrino oscillations studies. Advances in physics sensitivity have recently been achieved by employing Convolutional Neural Networks to reconstruct neutrino interactions in the DeepCore detector. In this contribution, the recent IceCube result from the atmospheric muon neutrino disappearance analysis using the CNN-reconstructed neutrino sample are presented and compared to the existing worldwide measurements

    Angular dependence of the atmospheric neutrino flux with IceCube data

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    IceCube Neutrino Observatory, the cubic kilometer detector embedded in ice of the geographic South Pole, is capable of detecting particles from several GeV up to PeV energies enabling precise neutrino spectrum measurement. The diffuse neutrino flux can be subdivided into three components: astrophysical, from extraterrestrial sources; conventional, from pion and kaon decays in atmospheric Cosmic Ray cascades; and the yet undetected prompt component from the decay of charmed hadrons. A particular focus of this work is to test the predicted angular dependence of the atmospheric neutrino flux using an unfolding method. Unfolding is a set of methods aimed at determining a value from related quantities in a model-independent way, eliminating the influence of several assumptions made in the process. In this work, we unfold the muon neutrino energy spectrum and employ a novel technique for rebinning the observable space to ensure sufficient event numbers within the low statistic region at the highest energies. We present the unfolded energy and zenith angle spectrum reconstructed from IceCube data and compare the result with model expectations and previous measurements

    Searching for high-energy neutrinos from shock-interaction powered supernovae with the IceCube Neutrino Observatory

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    Searches for IceCube Neutrinos Coincident with Gravitational Wave Events

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    Search for neutrino sources from the direction of IceCube alert events

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    We search for additional neutrino emission from the direction of IceCube\u27s highest energy public alert events. We take the arrival direction of 122 events with a high probability of being of astrophysical origin and look for steady and transient emission. We investigate 11 years of reprocessed and recalibrated archival IceCube data. For the steady scenario, we investigate if the potential emission is dominated by a single strong source or by many weaker sources. In contrast, for the transient emission we only search for single sources. In both cases, we find no significant additional neutrino component. Not having observed any significant excess, we constrain the maximal neutrino flux coming from all 122 origin directions (including the high-energy events) to Φ90%, 100 TeV=1.2×10−15~(TeV cm2 s)−1 at 100~TeV, assuming an E−2 emission, with 90\% confidence. The most significant transient emission of all 122 investigated regions of interest is the neutrino flare associated with the blazar TXS~0506+056. With the recalibrated data, the flare properties of this work agree with previous results. We fit a Gaussian time profile centered at μT=57001+38−26~MJD and with a width of σT=64+35−10~days. The best fit spectral index is γ=2.3±0.4 and we fit a single flavor fluence of J100 TeV=1.2+1.1−0.8×10−8~(TeV~cm2)−1. The global p-value for transient emission is pglobal=0.156 and, therefore, compatible with background
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