Intelligent control system of a marine power plant using an adaptive multi-mode neural network controller in relation to marine autonomous vessels

A I Epikhin; E V Khekert; A A Ivanchenko; G A Zelenkov

doi:doi:10.34046/aumsuomtl01/15

UDC 629

Intelligent control system of a marine power plant using an adaptive multi-mode neural network controller in relation to marine autonomous vessels

Published в Operation of Maritime Transport · Issue 4, 2021 · Pages 112–119 · Rubrics: ON BOARD POWER PLANTS, SYSTEMS AND DEVICES

DOI 10.34046/aumsuomtl01/15

Received: 20.12.2021 Accepted: 20.12.2021 Published: 25.12.2021 Language of publication: RUS

Authors

A I Epikhin ¹ · E V Khekert ² · A A Ivanchenko ³ · G A Zelenkov ⁴

1 FGBOU VO «GMU im. adm. F.F. Ushakova»

2 FGBOU VO «GMU im. adm. F.F. Ushakova»

3 Gosudarstvennyy universitet morskogo i rechnogo flota imeni admirala S.O. Makarova

4 FGBOU VO «GMU im. adm. F.F. Ushakova»

ABSTRACT

The article discusses the features of the choice of an algorithm for creating an intelligent control system for an SEP in the operating conditions of autonomous marine vessels. On the basis of a comparative analysis of systems and methods of artificial intelligence, the expediency of using neural networks has been substantiated. The use of neural network modeling made it possible to develop an algorithm for the structural synthesis of a multi-mode NS-controller for controlling the operation of a diesel-generator set of an ESP during transient processes in the entire range, observing the principle of minimum complexity and taking into account the requirements for astatism, physical feasibility, stability and quality of transient processes.

KEYWORDS

autonomous ship power plant diesel neural network control

Information Text References

Authors:

1. FGBOU VO «GMU im. adm. F.F. Ushakova»

2. FGBOU VO «GMU im. adm. F.F. Ushakova»

3. Gosudarstvennyy universitet morskogo i rechnogo flota imeni admirala S.O. Makarova

4. FGBOU VO «GMU im. adm. F.F. Ushakova»

Type:

Article

Pages:

from 112 to 119

Status:

Published

Subject area:

UDC 629

Language:

Russian

Keywords:

autonomous ship, power plant, diesel, neural network control

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References

1. Titov A.V., Barakat L., Lazovskaya O.Yu., Taktarov G.A., Kovalev O.P. Ocenka riskov ekspluatacii bezekipazhnyh sudov // Morskie intellektual'nye tehnologii- 2019,- № 1-4 (43).-S. 11-23.

2. Ambrosovskiy V.M., Kazunin D.V., Orlov A.P. Sistema upravleniya avtonomnyh i distancionno upravlyaemyh sudov // Morskoy vestnik-2019.-№ 3 (71).-S. 87-90.

3. Tang, Ruoli Optimal operation of hybrid energy system for intelligent ship: An ultrahigh-dimensional model and control method // Energy: the international journal. 2020. Volume211.

4. Machine learning paradigms: applications of learning and analytics in intelligent systems / George A. Tsihrintzis, Maria Virvou, Evangelos Sakkopoulos, Lakhmi C. Jain, editors. Cham: Springer, 2019. 287 p.

This work is licensed under Creative Commons Attribution 4.0 International

Intelligent control system of a marine power plant using an adaptive multi-mode neural network controller in relation to marine autonomous vessels

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