Method for Helicopter Turboshaft Engines Controlling Energy Characteristics Through Regulating Free Turbine Rotor Speed and Fuel Consumption Based on Neural Networks DOI Creative Commons
Serhii Vladov, Maryna Bulakh,

Jan Czyżewski

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5755 - 5755

Published: Nov. 18, 2024

This research is devoted to the development of a method for helicopter turboshaft engine energy characteristics control by regulating free turbine rotor speed and fuel consumption using neural network technologies. A mathematical model was created that links main parameters, based on which relation with output power established. In this research, differential equation obtained consumption, power, speed, makes it possible monitor dynamics in various operating modes. controller developed neuro-fuzzy processes input data, including desired current allows real-time adjustments improve operational efficiency. flight data analysis during Mi-8MTV TV3-117 test, improved signal processing quality due time sampling adaptive quantisation methods (this confirmed assessing homogeneity representativeness training test datasets). comparative traditional controllers showed use reduces transient process 8.92% while increasing accuracy F1 score 18.28% 21.32%, respectively.

Language: Английский

Improving Green Shipping by Using Alternative Fuels in Ship Diesel Engines DOI Creative Commons
Сергій Вікторович Сагін, Oleksandr Haichenia, Sergey Karianskyi

et al.

Journal of Marine Science and Engineering, Journal Year: 2025, Volume and Issue: 13(3), P. 589 - 589

Published: March 17, 2025

This paper aims to consider the issue of increasing environmental friendliness shipping by using alternative fuels in marine diesel engines. It has been determined that engines are not only main heat used on ships sea and inland waterway transport, but also sources emissions toxic components with exhaust gases. The compounds whose controlled regulated international organizations sulfur oxides (SOX) nitrogen (NOX), as well carbon dioxide (CO2). Reducing NOX CO2 while simultaneously is possible fuel mixtures include biodiesel fuel. During research carried out Wartsila 6L32 (Shanghai Qiyao Diesel Co. Ltd., Shanghai, China), RMG500 DMA10 petroleum were used, their FAME. was found when containing 10–30% FAME biodiesel, reduced 11.20–27.10%; under same conditions, 5.31–19.47%. use (one which it) one ways increase level sustainability seagoing vessels promote ecological shipping. particular relevance operating special areas World Ocean. relatively low energy intensity method creating such contributes spread its many means maritime transport.

Language: Английский

Citations

3
Method for Maintaining Technical Condition of Marine Diesel Engine Bearings DOI Creative Commons
Сергій Вікторович Сагін, Arsenii Sagin, Yurii Zablotskyi

et al.

Lubricants, Journal Year: 2025, Volume and Issue: 13(4), P. 146 - 146

Published: March 25, 2025

The aim of the research was to determine impact antifriction coatings on technical condition marine diesel engine bearings. Various epilams were used as coatings, with a thin layer applied surfaces bearings engines 12V32/40 MAN-Diesel&Turbo. thickness epilam coating adsorbed metal surface controlled by ellipsometry. It found that could reach 11.2 nm 17.0 nm. adsorption time required does not exceed 10 min. shown nanolayer led an increase in structural characteristics oil boundary (thickness: from 12.3 µm 15.2–18.3 µm; contact angles: 10.2 deg 15.8–17.4 deg). experimentally confirmed bearing significantly reduced their wear. For MAN-Diesel&Turbo engine, case epilaminating, wear shell 6.1–27.6%, greatest reduction occurring for stern (most loaded) This helped maintain engines.

Language: Английский

Citations

3
Cognitive Method for Synthesising a Fuzzy Controller Mathematical Model Using a Genetic Algorithm for Tuning DOI Creative Commons
Serhii Vladov

Big Data and Cognitive Computing, Journal Year: 2025, Volume and Issue: 9(1), P. 17 - 17

Published: Jan. 20, 2025

In this article, a fuzzy controller mathematical model synthesising method that uses cognitive computing and genetic algorithm for automated tuning adaptation to changing environmental conditions has been developed. The technique consists of 12 stages, including creating the control objects’ coefficients using classical methods. research pays special attention error parameters their derivative fuzzification, which simplifies development logical rules helps increase stability systems. were tuned in computational experiment based on helicopter flight data. results show an integral quality criterion from 85.36 98.19%, confirms efficiency by 12.83%. use made it possible significantly improve turboshaft engines’ gas-generator rotor speed performance, reducing first second types errors 2.06…12.58 times compared traditional

Language: Английский

Citations

1
Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures DOI Creative Commons
Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(4), P. 990 - 990

Published: Feb. 7, 2025

An effective neural network system for monitoring sensors in helicopter turboshaft engines has been developed based on a hybrid architecture combining LSTM and GRU. This enables sequential data processing while ensuring high accuracy anomaly detection. Using recurrent layers (LSTM/GRU) is critical dependencies among time series analysis identification, facilitating key information retention from previous states. Modules such as SensorFailClean SensorFailNorm implement adaptive discretization quantisation techniques, enhancing the input quality contributing to more accurate predictions. The demonstrated detection at 99.327% after 200 training epochs, with reduction loss 2.5 0.5%, indicating stability processing. A algorithm incorporating temporal regularization combined optimization method (SGD RMSProp) accelerated convergence, reducing 4 min 13 s achieving an of 0.993. Comparisons alternative methods indicate superior performance proposed approach across metrics, including 0.993 compared 0.981 0.982. Computational experiments confirmed presence highly correlated sensor method's effectiveness fault detection, highlighting system's capability minimize omissions.

Language: Английский

Citations

0
A Fuzzy Adaptive PID Coordination Control Strategy Based on Particle Swarm Optimization for Auxiliary Power Unit DOI Creative Commons

Hongyan Qin,

Lingfeng Wang, Shilong Wang

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(21), P. 5311 - 5311

Published: Oct. 25, 2024

Range extender hybrid vehicles have the advantages of better dynamics and longer driving range while reducing pollution fuel consumption. This work focuses on control strategy an Auxiliary Power Unit (APU) operating in power generation mode for a range-extender mixer truck. When point is switched, engine speed generator torque APU will switch accordingly. In order to ensure fast stable adjustment meet demand vehicle as well operate at lowest consumption, fuzzy adaptive PID coordination based particle swarm optimization (PSO) proposed APU. The optimal curve calculated by coupling first. Then, algorithm used dual closed loop. PSO optimize parameter. Through hardware-in-the-loop tests under different working conditions, verified be effective real-time. results show that can coordinate track target stably quickly minimum Compared with traditional strategy, overshoot, regulation time steady-state error are reduced 55.1%, 11.1% 77.3%, respectively.

Language: Английский

Citations

1
Method for Helicopter Turboshaft Engines Controlling Energy Characteristics Through Regulating Free Turbine Rotor Speed and Fuel Consumption Based on Neural Networks DOI Creative Commons
Serhii Vladov, Maryna Bulakh,

Jan Czyżewski

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(22), P. 5755 - 5755

Published: Nov. 18, 2024

This research is devoted to the development of a method for helicopter turboshaft engine energy characteristics control by regulating free turbine rotor speed and fuel consumption using neural network technologies. A mathematical model was created that links main parameters, based on which relation with output power established. In this research, differential equation obtained consumption, power, speed, makes it possible monitor dynamics in various operating modes. controller developed neuro-fuzzy processes input data, including desired current allows real-time adjustments improve operational efficiency. flight data analysis during Mi-8MTV TV3-117 test, improved signal processing quality due time sampling adaptive quantisation methods (this confirmed assessing homogeneity representativeness training test datasets). comparative traditional controllers showed use reduces transient process 8.92% while increasing accuracy F1 score 18.28% 21.32%, respectively.

Language: Английский

Citations

0