Neural control of the underwater vehicle motion under conditions of uncertainty on the basis of the predictive controller

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dc.contributor.authorSerhii V., Blintsov
dc.contributor.authorDoan Fuk Tkhy
dc.date.accessioned2016-04-20T11:33:27Z
dc.date.available2016-04-20T11:33:27Z
dc.date.issued2014
dc.descriptionBlintsov, Serhii V. Нейрокерування рухом підводного апарата в умовах невизначеності на базі регулятора з передбаченням = Neural control of the underwater vehicle motion under conditions of uncertainty on the basis of the predictive controller / Serhii V. Blintsov ,Doan Fuk Tkhy // Вісн. НУК. – Миколаїв, 2014. – № 1. – Режим доступа: http://evn.nuos.edu.ua/article/view/39845/35979en_US
dc.description.abstractThe automatic control system of the speed of the underwater vehicle motion on the basis of the predictive controller under conditions of uncertainty of the object parameters has been synthesized and studied. The algorithm of the controller operation is described, and its structure is shown. A series of experiments was conducted on the mathematical model of the motion dynamics of the underwater vehicle. The training data sample was obtained and the artificial neural network approximating the object model was trained. The study of the impact of the controller parameters on the control accuracy was conducted. The best parameters were selected. The developed system showed high accuracy and performance. At that, it is not required to conduct complex experiments on obtaining data from the object for its synthesis. The disadvantages of the control system are the high complexity in obtaining a predictive model on the basis of the artificial neural networks and the high demands for hardware performance to compute the control signal.en_US
dc.description.provenanceSubmitted by Анастасія Лукашина (anastasia.lukashina@nuos.edu.ua) on 2016-04-20T11:33:27Z No. of bitstreams: 1 Blintsov.pdf: 350860 bytes, checksum: 62561388ada4e74e8ab620ac9018b542 (MD5)en
dc.description.provenanceMade available in DSpace on 2016-04-20T11:33:27Z (GMT). No. of bitstreams: 1 Blintsov.pdf: 350860 bytes, checksum: 62561388ada4e74e8ab620ac9018b542 (MD5)en
dc.identifier.urihttps://eir.nuos.edu.ua/handle/123456789/2043
dc.language.isootheren_US
dc.relation.ispartofseriesУДК;681.51:629.58
dc.subjectunderwater vehicleen_US
dc.subjectautomatic control systemen_US
dc.subjectartificial neural networken_US
dc.subjectintelligent controlen_US
dc.titleNeural control of the underwater vehicle motion under conditions of uncertainty on the basis of the predictive controlleren_US
dc.typeArticleen_US

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