In the paper modeling and simulation of a diesel motor with speed control system and generator with voltage system as complex, nonlinear and multivariable systems are presented. Mathematical models for every part of a...
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In the paper modeling and simulation of a diesel motor with speed control system and generator with voltage system as complex, nonlinear and multivariable systems are presented. Mathematical models for every part of a diesel electrical aggregate (diesel motor with its speed control system, synchronous generator, synchronous exciter, self-excited compounding unit, voltage controller and load) are developed and connected in a common model of the aggregate. Based upon these mathematical models of the aggregate, a simulation model is made using the "Matrix/sub x/" simulation software package. The paper also deals with comparison of characteristics seen from the simulation aspect and measurements. Bringing into the model new current sink simulation results, it better matches experimental results. So, this model can be used for selection of the diesel electrical aggregate's type and for analyzing the quality of load supply.
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.
Size modification of binary pictures can be mapped onto the CNN array using space variant linear templates. However, if all the parameters have to be set for each cell individually, then one of the CNN's main adva...
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Size modification of binary pictures can be mapped onto the CNN array using space variant linear templates. However, if all the parameters have to be set for each cell individually, then one of the CNN's main advantages will be lost in practice, the simple and quick parallel reprogrammability. In this paper, a general methodology is presented to derive the space variant templates of the complete weighting matrix from control pictures applying a simple nonlinear space invariant template. The straightforward design method presumes a modified CNN architecture (multiple input and specific nonlinear voltage-controlled current sources in every cell) and can be extended for a large class of sparse weighting matrices. Following this strategy the diminishment and enlargement process has been investigated using constant cell current and various bias maps in the transformations.
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