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ASIA-PACIFIC JOURNAL of MARINE SCIENCE&EDUCATION ISSN 2221-9935 (Print) ISSN 2306-8000 (Online) ASIA-PACIFIC JOURNAL of MARINE SCIENCE&EDUCATION VOLUME 8, No. 1, 2018 TERRITORIAL DISPUTES Adm. Nevelskoy Maritime State University Vladivostok, Russia Asi a-Pacific Journal of Marine Science&Education Жу р н а л о м о рс ко й науке и образовании в АТР Founded and published two times a year by Adm. Nevelskoy Maritime State University Учрежден и публикуется два раза в год Морским Государственным Университетом имени адм. Г.И. Невельского, г. Владивосток ADVISORY BOARD/Редакционный совет Dr. Rouben Azizian, Asia-Pacific Center for Security Studies, Hawaii, Honolulu, USA Dr. James Boutilier, Maritime Forces Pacific HQ, Victoria, BC, Canada Dr. Oleg A. Bukin, MSUN, Vladivostok, Russia Dr. Sang Goog Cho, MSUN, Vladivostok, Russia Dr. Andrey I. Fisenko, Economics&Management in Transport, MSUN, Russia Adm.(Ret.)Victor D. Fyodorov, Deputy Director (Southern Branch), P.P.Shirshov Institute of Oceanology, Gelendjik, Russia Adm.(Ret.) Gennady A. Khvatov, MSUN, Vladivostok, Russia Dr. Dovchin Myagmar, Institute for Geopolitical Studies, Ulan Bator, Mongolia Dr. Boris V. Preobrazhensky, Pacific Inst.of Geography, Russian Academy Sciences Dr. Leonid P. Reshetnikov, Russian Institute for Strategic Studies, Moscow, Russia Dr. Naoyuki Takagi, Tokyo University of Marine Science&Technology, Tokyo, Japan Dr. Alexander N. Vylegzhanin, MGIMO University, Moscow, Russia EDITORIAL BOARD/Редакция Executive Editor / Исполнительный редактор Nikolai I. Pereslavtsev/Н.И.Переславцев Editors/Редакторы Dr. Vladimir M. Lobastov, Dr. Vladimir A. Lazarev, Dr. Sergey V. Sevastianov, Dr. Sergey M. Smirnov, Dr. Vladimir F. Verevkin, Dr. Natalia G. Levchenko, Dr. Dmitry S. Kopyev. Dr. Alexey Yu. Strelkov, Rabia M. Newton, Pavel B. Kirichenko, Anastasia O. Barannikova. The opinions expressed by authors do not necessarily reflect those of Adm. Nevelskoy Maritime State University or the Editors of Asia-Pacific Journal Of Marine Science&Education. Reproduction of the contents without permission is forbidden. Address of the Founder and the Editorial Board: Adm. Nevelskoy Maritime State University 50a Verhneportovaya st., Vladivostok, Russia, 690059 Адрес Учредителя и Редакции: 690059, Россия, г. Владивосток, ул. Верхне- Портовая, 50а. E-mail/Эл.почта: [email protected], [email protected] Phone/Fax/Тлф/Факс: +7(423)230-1275 Copyright © 2018 by Adm. Nevelskoy Maritime State University ISSN 2221-9935 (Print) Registration No. ПИ №FS 77-44105 ISSN 2306-8000 (Online) Circulation – 40 copies/Тираж 40 экз. Free price/Цена свободная 2 ASIA-PACIFIC JOURNAL Of MARINE SCIENCE&EDUCATION CONTENTS December 2018 VOLUME 8, NO.1 Aleksandr A.Dyda, Elena B.Osokina, Elena P. Chinchukova Algorhithms of ship parametrers’ identification via speed gradient method..…….4 Natalia G. Levchenko, Evgeniya Yu.Sobolevskaya, Sergei V.Glushkov Development of intellectual system for managing the Arctic and Sub-Arctic sea freight ………………………………………………………….…………………..10 Saangkyun Yi, Young-Hoon Kim The notation trends of marine names and the propagation aspects in the Commonwealth and the Francophone media – a case of the sea between Korea and Japan …….. ……………………………………………………………………... .23 Nikolai I.Pereslavtsev The significance and objectives of Russia’s policy in the Arctic on the example of cooperation in its development with the Republic of Korea………………………43 Valentin V.Sergienko About the possible construction of a bridge between the mainland and the Sakhalin Island……………………………………………………………………………....55 Maritime territorial disputes…………………………………………………...67 Anastasia O.Barannikova Dormant territorial disputes of China: challenges for neighbors………………....68 Nikolai I.Pereslavtsev Korean-Japanese dispute concerning Liancourt Islands and the position of Russia………………………………………………………………………..……75 Sergei A.Ponomarev Kurile Islands – Legal regulations and Modern Naming Activities.......................81 Peter Yu.Samoylenko Russian-Japanese economic cooperation in the Far East as a basis for solving territorial contradictions and the role of mass media……………………..……………………………………….…………..….89 Boris I.Tkachenko International legal problems of signing Peace Treaty between Russia and Japan ………………………………..…….…..……......................................................96. Contributors……………………………………………………………………..105 Article abstracts in Russian……………………………………...………..…...108 3 ALGORITHMS OF SHIP PARAMETERS’ IDENTIFICATION VIA SPEED GRADIENT METHOD Aleksandr A. Dyda, Elena B. Osokina, Elena P. Chinchukova Admiral Nevelskoy Maritime State University, Vladivostok Abstract: The base for design of the ship control system lies in its mathematical model. There are known different linear and nonlinear models of the ship’s movement direction. The application of linear models is explained by the simplicity of their practical usage. However, nonlinear models are often more adequate to show a ship dynamics and, as result, provide more accurate design of the ship control system. In this article there are proposed to use the power series as functions of angular velocity for describing a nonlinearity which presents viscous friction forces moments. Main idea includes the derivation of algorithm to adjust coefficients of power series that describe nonlinearity of ship’s model. Theoretical base of the research is a method of speed gradient. To illustrate an approach there are given examples with four linear and nonlinear ship models. Keywords: ship control, linear model, nonlinear model, parameter identification, speed gradient method, adaptation algorithms, power series, numerical simulation The article is devoted to the problem of parameter identification of ship dynamics. Decision of this problem is important, in particular, for design of ship course control systems. Mathematical model of ship movement can be presented as a set of nonlinear nigh order differ rental equations. Direct usage of such common math model is a complicated problem.To solve particular practical problems, simplified linear and nonlinear models are often used. Obviously, linear ship dynamics models are more simplified than nonlinear ones, but the latter models can be more adequate to solve private tasks. In the paper, both versions of mathematical ship 4 models are used for to derive algorithms of parameter identification [1, 2, 3. 4]. Consider a simple nonlinear ship model of 1st order structural scheme of the model is given on Fig1. here f (.) is nonlinear function presenting viscous friction moments [1, 5]. Fig. 1. Nonlinear first order ship model. Simplified model of ship dynamic can be written in the following form: , (1) where: B – constant δ –rudder angle ɷ – Angular velocity To solve the identification problem, so called tuning models with structure, which is analogous to an object of identification, have been applied. , (2) Where ɷ m – the model output; fm(ɷ ), Bm – the model function and parameter; V – the additional function to improve an identification quality, V = νsign, ν – const, e = x – xm – the difference between an object output and that of its tuning model. Present a function f(ɷ ) in the form of power series: (3) Where n – is a number of series members taken into account. Analogously, present a function fm(ɷ m) of tuning model (4) Speed gradient method has been taken for identification [4, 6, 7] 5 Choose an aim function in the form: (5) To determine tuning law for adjustable parameters Am, Bm, calculate a time derivative of aim function taking into consideration equations (1), (2). Following to the scheme of speed gradient method, find the tuning law for parameter adjusting (6) Where constant γ defines a tuning speed. Derived algorithm of identification was checked by numerical simulations in MATLAB. Computer experiments were carried out for a few cases. Case 1. Consider a nonlinear function in the form: , (7) Coefficients and parameter B are taken as following: A1=2, A2=0, A3=0. B=6. As a result, one has a liner ship model known as so called Nomoto’s model. Results of identification according to derived algorithm are given on Fig. 2. As seen, coefficients of tuning model tend to that of a ship model, i.e., the derived algorithm demonstrates an identification property. Fig.2. First order linear system identification: parameters Аm and Bm Case 2. Suppose now that nonlinear function of ship model is presented as (8) 6 So, series’ coefficients and parameter B are taken as A1=0, A2=0, A3=2, B=6. Simulation result presented on Fig.3 confirms that identification algorithm is effective for essentially nonlinear ship model. Fig.3. Parameters identification: сase 2 Series coefficients Am1, Am2, Am3 and parameter Bm evaluated by identification scheme asymptotically tend to their reel values. Case 3. Identification results for ship model with nonlinear function (9) with A1 = 3, A2 = 0, A3 = 1, B = 6 are presented on Fig. 4. Again, one can see that derived identification algorithm successfully works. Fig.4. Parameters identification: сase 3 The approach used above to identification algorithm design can be applied to a ship model of higher order [4, 8, 9] Fig.5 demonstrates successful identification of matrix coefficient for Nomoto’s ship model of second order. 7 Fig.5. Matrix parameters identification: сase 4 Concluding remarks In the article, an identification algorithm based on speed gradient method has been developed. It was applied to linear and nonlinear ship model. To present nonlinearity of ship model, approach using power series were proposed. Numerical simulations have confirmed an effectiveness
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