The paper involves an analysis of the impact of some turbogenerator set parameters which considerably influence its mechanical behaviour on the calculations of torsional strains. The analysis is carried out for a case...
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The paper involves an analysis of the impact of some turbogenerator set parameters which considerably influence its mechanical behaviour on the calculations of torsional strains. The analysis is carried out for a case of a three-phase short circuit at one of two parallel lines through which a generator is supplied followed by a fault clearing. Maximum torsional torques and critical fault clearing times at which they occur are presented. The mechanical parameters which have the largest influence on the torsional strains in the shaft are the stiffness coefficients of the shaft sections and the mechanical time constants (or moments of inertia) of the generator and the turbine rotors. The influence of mechanical damping coefficients is less significant. Maximum torsional torques are also indirectly influenced by electrical parameters of the generator, primarily by the subtransient and the transient synchronous reactance, but their impact is minor. Calculated time responses of torsional torques for the combined fault show that inaccurately defined mechanical parameters can lead to wrong conclusions concerning maximum values of torsional torques which could occur during a fault.
The majority of algorithms making use of the Shape from Shading technique to reconstruct a 3-D surface from its image employ the orthographic projection system which, in the case of real images, always causes deformat...
The majority of algorithms making use of the Shape from Shading technique to reconstruct a 3-D surface from its image employ the orthographic projection system which, in the case of real images, always causes deformation on the reconstructed surface. To remove this constraint a simultaneous procedure (Hybrid Model) is proposed which uses the Shape from Shading (SFS) technique combined with the photogrammetric technique and the perspective projection to reconstruct the surface and determine the camera calibration parameters. The procedure is based on an explicit mathematical model and an iterative process is adopted to solve the resulting system of equations. The Least Square Method (LSM) is adopted and the Taylor's Series Lianearization technique is applied due to the non-linearity of the model. The proposed procedure differs from the procedures found in the literature in that it adopts the simultaneous computation of the tridimensional coordinates for surface point and the camera calibration parameters while employing perspective projection. In addition to that, solving the resulting system of equations does not demand any restriction on the surface, as it happens in other related procedures.
The architecture of ACE, a multiprocessor analogic cellular neural network (CNN) emulator engine consisting of 2 to 16 TMS320C40 floating point DSPs is introduced. The engine containing up to 512 Mbyte RAM (enough to ...
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The architecture of ACE, a multiprocessor analogic cellular neural network (CNN) emulator engine consisting of 2 to 16 TMS320C40 floating point DSPs is introduced. The engine containing up to 512 Mbyte RAM (enough to store a 512/spl times/512/spl times/512 sized CNN cube) which can be controlled through its SCSI port. It can either accelerate the multilayer CNN simulator CNNM or be accessed directly from the high level, C-based analogic CNN language ACL to achieve the simulation speed of /spl sim/2.8 /spl mu/sec/cell/iteration/DSP for 3/spl times/3 linear templates.
WCBSL is a Windows Convolution-Based Simulation Language for time-domain analysis and design of linear feedback systems based on convolution algebra The theoretical basis is outlined and the language and methodology a...
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WCBSL is a Windows Convolution-Based Simulation Language for time-domain analysis and design of linear feedback systems based on convolution algebra The theoretical basis is outlined and the language and methodology are illustrated. Characteristic patterns and vectors are defined and the effect of delay is considered-Dynamic criteria for choosing between decentralized and multivariable control are illustrated using the model of an industrial air compressor.
The printed circuit board layout inspection methods are mostly based on local geometric information, therefore it is well suited to the cellular neural network (CNN) paradigm. Two layout errors are detected here namel...
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The printed circuit board layout inspection methods are mostly based on local geometric information, therefore it is well suited to the cellular neural network (CNN) paradigm. Two layout errors are detected here namely, the breaks in the wires and some kind of short circuits. The designed analogic algorithms to solve the problems above were tested on real life examples using an experimental system based on our CNN-HAC1M digital multiprocessor add-on-board, with 1 million cell space and 2.0 /spl mu/s/cell/iteration speed.
In this paper, we discuss CNN based adaptive nonlinear filters derived from robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference controlled nonlinear (...
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In this paper, we discuss CNN based adaptive nonlinear filters derived from robust statistic and geometry-driven diffusion paradigms. The base models of both approaches are defined as difference controlled nonlinear (DCN) CNN templates while the self-adjusting property is ensured by simple analogic (analog and logic) CNN algorithms. The proposed methods provide a practical framework for VLSI implementation, since all nonlinear cell interactions of the CNN architecture are deduced to two fundamental nonlinearities, to a sigmoid-type and a radial basis function. These nonlinear characteristics in DCN templates can be approximated by simple piecewise-linear functions of the difference voltage of neighboring cells. The simplification makes possible to convert all space invariant nonlinear templates of this study to a standard instruction set of the CNN Universal Machine, where each instruction is coded by at most 10 analog numbers. Through examples it is demonstrated, that such CNN based adaptive nonlinear filters have excellent performance in filtering both the impulsive and Gaussian noise while preserving the image structure.
Pure time delays in multivariable control systems place severe restrictions on achievable feedback performance. This paper considers an approach to modelling distributed time-delay systems using discrete convolution. ...
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In this paper, the architecture of a fuzzy processor intended for high-speed control applications is described. Its main advantage is the inference speed that does not depend on the number of used inputs and rules. Th...
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In this paper, the architecture of a fuzzy processor intended for high-speed control applications is described. Its main advantage is the inference speed that does not depend on the number of used inputs and rules. This is accomplished by the usage of content addressable memory as a rule set storage. The proposed architecture was simulated and the simulation results give the inference speed of about 200 KFLIPS.
A new technique for control system design based on the Optimal Constrained Covariance Control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers publishe...
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A new technique for control system design based on the Optimal Constrained Covariance Control (OC 3 ) is presented. A design procedure of control system for dynamic ship positioning is proposed. In the papers published so far the controller gain matrices were detennined using the classical Linear Quadratic Gaussian (LQG) optimal control technique, the pole-placement technique and characteristic locus design method. The main disadvantage of these techniques is their poor correspondence with the real performance requirements of control system. Using the proposed technique this disadvantage is avoided. The results of computer simulation using OC 3 control are presented.
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