During winter in arctic seas, navigation of ships near ports occurs within ice channels created and maintained by icebreakers. Small ice floes fill the relatively narrow navigable channel, and ships are forced to produce the overtaking or opposing separation over short distances and under the action of ice floes. This paper presents an analytical model of the interaction of ships under the conditions just described as well as the results of a simulation. The simulation showed side force and yawing moments were dependent on ice conditions and the ship’s dimensions and motion characteristics.
It is well-known that operator error – “human factor” – is the cause of most accidents. This is a great concern to navigators. Recent crashes of ferries with large numbers of human victims have occurred because of navigator errors or because of their inability to make adequate decisions in an unexpectedly arisen emergency. This paper presents a possible method for quantitative estimation of the “human factor” based on analysis of the physical and mental conditions of the operator and the working environment.
Using self-contained acoustic buoys developed at the Shirshov Institute of Oceanology, experiments were performed to verify the possibility of acoustic tomography in a local region of a shallow-water sea. In the experiments carried out in October 2010 on shelf of the Black Sea, compound phase-manipulated signals are transmitted and the time responses of the medium are measured using three bottom-moored receiving and transmitting transducers separated by 1-km distance. The results of reconstructing the sound and current velocities are compared with the data of independent measurements made by set of standard oceanographic instruments (ADCP, CTD sounds, etc.).
Practice demonstrates that most of existing methods and techniques of adjustment of the automatic control systems cannot provide the appropriate quality of the systems performing. That is why nowadays main attention is paid to adaptive methods and algorithms. In this paper, the Real Interpolation Method is offered for creation of adaptive Automatic Control Systems. It is based on use of a special case of the Laplace transformation, when the complex variable p = delta + j*omega comes to real part delta. Due to this approach the number of operations is decreased more than twice in comparison with the frequency domain methods and it considerably simplifies algorithms of self-adjustment of Automatic Control Systems.
In this paper, the problem of construction of the hardware-software means intended for maintenance of manual and automated regimes of automatic control system adjustment is considered. For the solution of the problem, the Real Interpolation Method is offered. Two important procedures which guarantee decreasing of computation costs in comparison with traditional methods are in its basis. Firstly, a special discrete transformation of time functions is used and derivable functions-images have real argument. Secondly, these functions are replaced with discrete forms, which can describe control system, its elements and signals. The offered way of problem decision is illustrated with numerical example.
A numerical synthesis method of continuous control systems having few internal loops is proposed. Every loop may contain the correcting devices, both in the direct channel and in the feedback circuit, The basis of the method is a real integral transform allowing writing the synthesis equation in the image domain in such a way that it contains the functions of real argument only. The interpolation approach provides the development of synthesis equations for the unknown coefficients of correcting device transfer functions. The system solution by Newton's method is found.
A numerical synthesis method of continuous control systems having few internal loops is proposed. Every loop may contain the correcting devices both in the direct channel and in the feedback circuit. The basis of the method is a real integral transform allowing writing the synthesis equation in the image domain in such a way that it contains the functions of real argument only. The interpolation approach provides the development of synthesis equations for the unknown coefficients of correcting device transfer functions. The system solution by Newton's method is found.
The automatic control systems of industrial plants lose optimum tuning during their operation. Therefore, appreciable economic and time expenditures are demanded for correction of settings. Recently the tendency of using systems dynamic characteristics was designed for their diagnosing. This is destined for decrease of expenditures and raise of control systems state analysis exactitude. However, there are appreciable difficulties on this way, which are caused by lack of the sufficiently cost-effective algorithmic basis for creation of portative hardware-software diagnostic tools. It does not allow to solve all complex of problems under field conditions immediately: it is impossible to gain the information about the system, to process it, to form current dynamic characteristics and to compare them with etalon. In this is offered the Real Interpolation Method (RIM) for the diagnosing with the purpose of softening the mentioned deficiency. It is founded on usage of a special case of the Laplace transformation when the complex variable p= +j is degenerated in real . The number of operations is diminish more than 2 times in comparison with the frequency method. Real Interpolation Method is equivalent to the frequency method from positions of noise proof features. The possibilities of RIM allow to use it for identification diagnostic of liearized continuous and discrete systems, and also for their subsequent tuning.
PL
Brak odpowiednio efektywnych algorytmów utrudnia stworzenie przenośnych urządzeń diagnostycznych. W referacie opisano zaproponowaną do diagnostyki układów sterowania metodą interpolacji RIM (Real Interpolation Method). Polega ona na zastosowaniu szczególnym przypadku transformaty Laplaca, gdy zmienna zespolona p= +j jest zredukowana do jej części rzeczywistej . W ten sposób zmniejsza się liczba operacji podczas diagnostyki o więcej jak 2 razy w porównaniu z przypadkiem gdy są znane charakterystyki częstotliwościowe. Metoda RIM, gdy idzie o zakłócenia, jest równa metodom, w których stosuje się charakterystyki częstotliwościowe. Metoda RIM nadaje się do diagnostyki i identyfikacji ciągłych i dyskretnych układów sterowania automatycznego
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