A fuzzy autopilot for ship path control is proposed. Nonlinear model of a ship and a steering subsystem is used. The autopilot uses heading signal and yaw rate signal to produce a command rudder angle. The autopilot d...
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A fuzzy autopilot for ship path control is proposed. Nonlinear model of a ship and a steering subsystem is used. The autopilot uses heading signal and yaw rate signal to produce a command rudder angle. The autopilot does not use lateral offset from the nominal track. Input variable fuzzyfication, fuzzy associative memory rules and output set defuzzyfication are described. The influence of the shallow water effect during larger maneuver is analyzed.
A procedure for the postoptimal analysis of dynamic positioning control system of floating vessels is proposed. The control system design is based on the optimal constrained covariance control (OC 3 ). Using the OC 3 ...
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A procedure for the postoptimal analysis of dynamic positioning control system of floating vessels is proposed. The control system design is based on the optimal constrained covariance control (OC 3 ). Using the OC 3 technique, the disadvantages of the classical LQG optimal control technique are avoided. The presented numerical example illustrates the properties of the new approach.
The novel idea of an orthogonal fuzzy rule-based system is introduced in this paper. It is shown that in a fuzzy rule-based system where rules are orthogonal, each rule induces its maximum effect on the final decision...
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The novel idea of an orthogonal fuzzy rule-based system is introduced in this paper. It is shown that in a fuzzy rule-based system where rules are orthogonal, each rule induces its maximum effect on the final decision. Using 18 orthogonal fuzzy rules, a model for the solder paste printing stage of SMT is created. The predicted percentage of deposit volume from the orthogonal and non-orthogonal models are compared with actual values. The orthogonal model shows less error in 85% of the data points.
The paper presents results of research with the new predictive autopilot structure (PIP+D) with gain scheduling. The autopilot is tested and compared with conventional PID autopilot for a mariner class ship. The autop...
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The paper presents results of research with the new predictive autopilot structure (PIP+D) with gain scheduling. The autopilot is tested and compared with conventional PID autopilot for a mariner class ship. The autopilot parameters are changed with the speed of the ship using the gain scheduling technique. Results obtained during the research show that the proposed autopilot structure is to be recommended if improved performance is of prime interest, when the velocity of the ship is changing. The analysis is based on the simulation of a mariner class ship as a nonlinear system, with the steering servo system taken as a nonlinear model. Results of the simulation are included.
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 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.
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