A theory of nonlinear commutating machines is presented that is applicable to all machines whose inductance coefficients are restricted to single-valued nonlinear functions of the electric currents in addition to the ...
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A theory of nonlinear commutating machines is presented that is applicable to all machines whose inductance coefficients are restricted to single-valued nonlinear functions of the electric currents in addition to the brush and rotor positions. The development is suggested by elementary Finsler theory. With this new approach, machine equations are easily derived in terms of functions which can be firmly related to the electrical-mechanical structure and the terminal characteristics. The theory is applied to a representative nonlinear commutating machine to illustrate its use.
An analytic approach which combines the harmonic balance method and perturbation techniques is used for calculation of the periodic solutions of the van der Pol equation with\\mu = 0-3. An approximate solution which i...
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An analytic approach which combines the harmonic balance method and perturbation techniques is used for calculation of the periodic solutions of the van der Pol equation with\\mu = 0-3. An approximate solution which includes a few main harmonics can be found by the harmonic balance method. Then the van der Pol equation is reduced to an equivalent small parameter form. Perturbation techniques are applied to find the correction equations. These are linear differential equations and their steady-state solutions are used to calculate higher harmonics, the amplitude correction terms for the initial main harmonics, and the correction of the oscillation frequency.
A concept is presented along with the overarching structure of the Virtual power plant (VPP), the primary vehicle for delivering cost efficient integration of distributed energy resources (DER) into the existing power...
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A concept is presented along with the overarching structure of the Virtual power plant (VPP), the primary vehicle for delivering cost efficient integration of distributed energy resources (DER) into the existing power systems. The growing pressure, primarily driven by environmental concerns, for generating more electricity from renewables and improving energy efficiency have promoted the application of DER into electricity systems. So far, DER have been used to displace energy from conventional generating plants but not to displace their capacity as they are not visible to system operators. If this continues, this will lead to problematic over-capacity issues and under-utilisation of the assets, reduce overall system efficiency and eventually increase the electricity cost that needs to be paid by society. The concept of VPP was developed to enhance the visibility and control of DER to system operators and other market actors by providing an appropriate interface between these system components. The technical and commercial functionality facilitated through the VPP are described and concludes with case Studies demonstrating the benefit of aggregation (VPP concept) and the use of the optimal power flow algorithm to characterise VPP.
A practical method is described for the three-dimensional determination of the position, shape, and attitude of a hydrophone array towed from a surface vessel. It provides successive snapshots of the array configurati...
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A practical method is described for the three-dimensional determination of the position, shape, and attitude of a hydrophone array towed from a surface vessel. It provides successive snapshots of the array configuration with a maximum rate of about three per minute. The method is intended as an alternative to the use of fixed test ranges and provides results suitable for validating computer models of array motion. It uses the travel-time differences of impulsive waves measured across the array. The waves are generated by two explosive charges dropped from consorts. Results of a typical experiment are presented as an illustrative example. The array position relative to the tow ship is obtained to within an accuracy of a few metres.< >
An exact nonuniform sampling scheme is proposed based on Cauchy's residue theorem. The noise behavior is studied and the consequences for possible applications given. An inherently nonuniform sampling instrument i...
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An exact nonuniform sampling scheme is proposed based on Cauchy's residue theorem. The noise behavior is studied and the consequences for possible applications given. An inherently nonuniform sampling instrument is built and used in experiments. The results of the application of the formulas for the processing of astronomical data and the error correction of high-frequency network analyzers are given.< >
The problem of parameterization of the input-output relation of constant finite-dimensional linear multivariable systems is considered. As a first result it is shown that a precisely defined set of entries of the Mark...
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The problem of parameterization of the input-output relation of constant finite-dimensional linear multivariable systems is considered. As a first result it is shown that a precisely defined set of entries of the Markov parameters of a system constitutes a complete set of independent invariants of the system. Specializing this result a new complete set of invariants is derived in which the input and output Kronecker indices and a canonical permutation constitute the structural invariants, whereas the set of numerical parameters in the set of invariants directly defines the parameters in a related new canonical form. The number of numerical parameters involved may be strictly less than the number of parameters in existing canonical forms. The results have been obtained by formulating a realization problem in terms of Rosenbrock's concept of a system matrix. Prototype algorithms for obtaining the proposed invariants from a state-space description or from a sequence of Markov parameters are presented.
The combination of an antenna, a 100 kHz bandpass filter, a hard limiter, and a sequential detector can supply highly accurate Loran-C data to a digital processor, even under low signal-to-noise-ratio conditions. For ...
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The combination of an antenna, a 100 kHz bandpass filter, a hard limiter, and a sequential detector can supply highly accurate Loran-C data to a digital processor, even under low signal-to-noise-ratio conditions. For such a simple, low-cost receiver, calculations are given for the accuracy of the envelope and phase tracking of the Loran-C signal as a function of the signal-to-noise (Gaussian and atmospheric) ratio, averaging time, and radian speed of the observer with respect to the transmitter. Mentioned are the quasi-noise censoring effects of the hard limiter. Besides the Loran-C application, the hard limiter-sequential detector system can in general be applied for low-cost, synchronous signal detection under poor signal-to-noise ratio.
Laser-induced fluorescence spectra are presented for the first allowed electronic transitions in the near-UV of the aniline-argon and aniline-neon 1:1 Van der Waals complexes, formed in a molecular beam, The experimen...
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Laser-induced fluorescence spectra are presented for the first allowed electronic transitions in the near-UV of the aniline-argon and aniline-neon 1:1 Van der Waals complexes, formed in a molecular beam, The experimental linewidth was of the order of 10(-3) cm(-1) due to residual Doppler broadening and lifetime contributions, Single rotational eigenstates were resolved and complete sets of spectral assignments obtained using a rigid-rotor Hamiltonian model. From the rotational constants we extract both structural and dynamical information on the different clusters. This information is better understood in the light of a comparison with the results of quantum calculations.
A new density-based clustering algorithm, RNN-DBSCAN, is presented which uses reverse nearest neighbor counts as an estimate of observation density. Clustering is performed using a DBSCAN-like approach based on k near...
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A new density-based clustering algorithm, RNN-DBSCAN, is presented which uses reverse nearest neighbor counts as an estimate of observation density. Clustering is performed using a DBSCAN-like approach based on k nearest neighbor graph traversals through dense observations. RNN-DBSCAN is preferable to the popular density-based clustering algorithm DBSCAN in two aspects. First, problem complexity is reduced to the use of a single parameter (choice of k nearest neighbors), and second, an improved ability for handling large variations in cluster density (heterogeneous density). The superiority of RNN-DBSCAN is demonstrated on several artificial and real-world datasets with respect to prior work on reverse nearest neighbor based clustering approaches (RECORD, IS-DBSCAN, and ISB-DBSCAN) along with DBSCAN and OPTICS. Each of these clustering approaches is described by a common graph-based interpretation wherein clusters of dense observations are defined as connected components, along with a discussion on their computational complexity. Heuristics for RNN-DBSCAN parameter selection are presented, and the effects of k on RNN-DBSCAN clusterings discussed. Additionally, with respect to scalability, an approximate version of RNN-DBSCAN is presented leveraging an existing approximate k nearest neighbor technique.
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