Temat: Predictive - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A model-free direct predictive grid-current control strategy for grid-connected converter with an inductance-capacitance-inductance filter
Autorzy:: Guo, Leilei
Zheng, Mingzhe
Yu, Changzhou
Xu, Haizhen
Li, Yanyan
Powiązania:: https://bibliotekanauki.pl/articles/2202543.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: grid-connected converter
GCC
model-free predictive current control
MFPCC
parameter mismatch
robustness
Opis:: The disadvantages of the conventional model predictive current control method for the grid-connected converter (GCC) with an inductance-capacitance-inductance (LCL) filter are a large amount of calculation and poor parameter robustness. Once parameters of the model are mismatched, the control accuracy of model predictive control (MPC) will be reduced, which will seriously affect the power quality of the GCC. The article intuitively analyzes the sensitivity of parameter mismatch on the current predictive control of the conventional LCL-filtered GCC. In order to solve these issues, a model-free predictive current control (MFPCC) method for the LCL-filtered GCC is proposed in this paper. The contribution of this work is that a novel current predictive robust controller for the LCL-filtered GCC is designed based on the principle of the ultra-local model of a single input single output system. The proposed control method does not require using any model parameters in the controller, which can effectively suppress the disturbances of the uncertain parameter variations. Compared with conventional MPC, the proposed MFPCC has smaller current total harmonic distortion (THD). When the filter parameters are mismatched, the control error of the proposed method is smaller. Finally, a comparative experimental study is carried out on the platform of Typhoon and PE-Expert4 to verify the superiority and effectiveness of the proposed MFPCC method for the LCL-filtered GCC.
Źródło:: Archives of Electrical Engineering; 2023, 72, 1; 23--42
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A ship manoeuvring desktop simulator for developing and validating automatic control algorithms
Autorzy:: He, H.
Lataire, E.
Zwijnsvoorde, T. V.
Powiązania:: https://bibliotekanauki.pl/articles/24201421.pdf
Data publikacji:: 2023
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: automatic control
optimal tracking algorithms
manoeuvring simulator
anti-collision maneuvering
autonomous ship controller
model predictive control
waypoint path controller
authonomy of ships
Opis:: This paper presents a user‐friendly simulator developed based on Windows Forms and deployed as a test bed for validating automatic control algorithms. The effectiveness of some of the integrated track controllers has been tested with free running experiments carried out in the Towing Tank for Manoeuvres in Shallow Water in Ostend, Belgium. The controllers enable a ship to follow predefined random paths with high accuracy. Ship‐to‐ship interaction is considered in some cases. Simulator environments provide useful tools for extending the number of validation scenarios, supplementing the work performed in the towing tank. The simulator is presented with a graphical user interface, aiming at providing a good user experience, numerous test scenarios and an extensively‐validated library of automatic control algorithms. With the usage of the simulator, further evaluation of developed control algorithms by implementing extensive test runs with different ships and waterways could be made. Case studies are shown to illustrate the functionality of the simulator.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2023, 17, 3; 607--616
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: An efficient microgrid model based on Markov fuzzy demand-side management
Autorzy:: Jabash Samuel, G. K.
Sivagama Sundari, M. S.
Bhavani, R.
Jasmine Gnanamalar, A.
Powiązania:: https://bibliotekanauki.pl/articles/27311444.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: smart grid
fuzzy Markov decision process
power scheduling
operating cost
nonlinear model predictive control
inteligentna sieć
planowanie mocy
koszt operacyjny
proces decyzyjny Markowa rozmyty
regulator predykcyjny nieliniowego modelu
Opis:: Today’s electricity management mainly focuses on smart grid implementation for better power utilization. Supply-demand balancing, and high operating costs are still considered the most challenging factors in the smart grid. To overcome this drawback, a Markov fuzzy real-time demand-side manager (MARKOV FRDSM) is proposed to reduce the operating cost of the smart grid system and maintain a supply-demand balance in an uncertain environment. In addition, a non-linear model predictive controller (NMPC) is designed to give a global solution to the non-linear optimization problem with real-time requirements based on the uncertainties over the forecasted load demands and current load status. The proposed MARKOV FRDSM provides a faster scale power allocation concerning fuzzy optimization and deals with uncertainties and imprecision. The implemented results show the proposed MARKOV FRDSM model reduces the cost of operation of the microgrid by 1.95%, 1.16%, and 1.09% than the existing method such as differential evolution and real coded genetic algorithm and maintains the supply-demand balance in the microgrid.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 3; art. no. e145569
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Artificial intelligence-based predictive maintenance, time-sensitive networking, and big data-driven algorithmic decision-making in the economics of Industrial Internet of Things
Autorzy:: Kliestik, Tomas
Nica, Elvira
Durana, Pavol
Popescu, Gheorghe H.
Powiązania:: https://bibliotekanauki.pl/articles/39987975.pdf
Data publikacji:: 2023
Wydawca:: Instytut Badań Gospodarczych
Tematy:: artificial intelligence (AI)
predictive maintenance (PM)
Industrial Internet of Things (IIoT)
time-sensitive networking (TSN)
big data
algorithmic decision-making
Opis:: Research background: The article explores the integration of Artificial Intelligence (AI) in predictive maintenance (PM) within Industrial Internet of Things (IIoT) context. It addresses the increasing importance of leveraging advanced technologies to enhance maintenance practices in industrial settings. Purpose of the article: The primary objective of the article is to investigate and demonstrate the application of AI-driven PM in the IIoT. The authors aim to shed light on the potential benefits and implications of incorporating AI into maintenance strategies within industrial environments. Methods: The article employs a research methodology focused on the practical implementation of AI algorithms for PM. It involves the analysis of data from sensors and other sources within the IIoT ecosystem to present predictive models. The methods used in the study contribute to understanding the feasibility and effectiveness of AI-driven PM solutions. Findings & value added: The article presents significant findings regarding the impact of AI-driven PM on industrial operations. It discusses how the implementation of AI technologies contributes to increased efficiency. The added value of the research lies in providing insights into the transformative potential of AI within the IIoT for optimizing maintenance practices and improving overall industrial performance.
Źródło:: Oeconomia Copernicana; 2023, 14, 4; 1097-1138
2083-1277
Pojawia się w:: Oeconomia Copernicana
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Big Data Profiling and Predictive Analytics from the Perspective of GDPR
Profilowanie i analiza predykcyjna z wykorzystaniem zbiorów big data z perspektywy RODO
Autorzy:: Siwicki, Maciej
Powiązania:: https://bibliotekanauki.pl/articles/31348344.pdf
Data publikacji:: 2023
Wydawca:: Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
Tematy:: GDPR
personal data
profiling
big data
predictive analytics
RODO
dane osobowe
profilowanie
analiza predykcyjna
Opis:: The text analyses the normative regulations adopted by the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (GDPR) in order to answer the question whether the said regulations properly balance the interests of both entities that use predictive analytics and profiling in their economic activity, and of persons whose data they process. As this type of processing is based on big data, the proper analysis of this issue had to begin with determining which types of data processed in such sets can be considered personal information and in what conditions they can be treated as such. Based on these findings, the study analyzed the duties imposed by the GDPR on entities processing personal data in situations when such information has been obtained from big data. This in turn made it possible to assess the adopted normative regulations as well as point to the possible solutions and development paths.
Niniejsze opracowanie poświęcone zostało analizie regulacji rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 z dnia 27 kwietnia 2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych (RODO) w celu odpowiedzi na pytanie, czy we właściwy sposób wyważają one interesy zarówno podmiotów wykorzystujących w swojej działalności gospodarczej analizę predykcyjną i profilowanie, jak i osób, których dane są przez nich przetwarzane. Ze względu na to, że ten rodzaj przetwarzania opiera się na dużych zbiorach danych, właściwą analizę tego zagadnienia należało rozpocząć od określenia, jakie informacje przetwarzane w takich zbiorach i w jakich warunkach należy uznać za dane osobowe. W oparciu o te ustalenia przeprowadzona została analiza obowiązków nakładanych przez RODO na podmioty przetwarzające dane osobowe w sytuacji, gdy źródłem danych są informacje pozyskane ze zbiorów typu big data. Umożliwiło to dokonanie oceny przyjętych regulacji normatywnych oraz wskazanie możliwych rozwiązań i ścieżek rozwoju.
Źródło:: Studia Iuridica Lublinensia; 2023, 32, 2; 249-266
1731-6375
Pojawia się w:: Studia Iuridica Lublinensia
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Classification and segmentation of periodontal cystfor digital dental diagnosis using deep learning
Autorzy:: Lakshmi, T. K.
Dheeba, J.
Powiązania:: https://bibliotekanauki.pl/articles/38700996.pdf
Data publikacji:: 2023
Wydawca:: Instytut Podstawowych Problemów Techniki PAN
Tematy:: CNN
dental radiograph
deep learning
health care
machine transfer learning
periodontal cyst
predictive analytics
segmentation
U-Net
VGG16
rentgenowskie zdjęcie zębów
uczenie głębokie
opieka zdrowotna
uczenie się z transferu maszynowego
torbiel przyzębia
analityka predykcyjna
segmentacja
Opis:: The digital revolution is changing every aspect of life by simulating the ways humansthink, learn and make decisions. Dentistry is one of the major fields where subsets ofartificial intelligence are extensively used for disease predictions. Periodontitis, the mostprevalent oral disease, is the main focus of this study. We propose methods for classifyingand segmenting periodontal cysts on dental radiographs using CNN, VGG16, and U-Net.Accuracy of 77.78% is obtained using CNN, and enhanced accuracy of 98.48% is obtainedthrough transfer learning with VGG16. The U-Net model also gives encouraging results.This study presents promising results, and in the future, the work can be extended withother pre-trained models and compared. Researchers working in this field can develop novelmethods and approaches to support dental practitioners and periodontists in decision-making and diagnosis and use artificial intelligence to bridge the gap between humansand machines.
Źródło:: Computer Assisted Methods in Engineering and Science; 2023, 30, 2; 131-149
2299-3649
Pojawia się w:: Computer Assisted Methods in Engineering and Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Combining predictive distributions of electricity prices : does minimizing the CRPS lead to optimal decisions in day-ahead bidding?
Autorzy:: Nitka, Weronika
Weron, Rafał
Powiązania:: https://bibliotekanauki.pl/articles/27315321.pdf
Data publikacji:: 2023
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: decision support
day-ahead electricity bidding
predictive distribution
combining forecast
CRPS learning
Opis:: Probabilistic price forecasting has recently gained attention in power trading because decisions based on such predictions can yield significantly higher profits than those made with point forecasts alone. At the same time, methods are being developed to combine predictive distributions, since no model is perfect and averaging generally improves forecasting performance. In this article, we address the question of whether using CRPS learning, a novel weighting technique minimizing the continuous ranked probability score (CRPS), leads to optimal decisions in day-ahead bidding. To this end, we conduct an empirical study using hourly day-ahead electricity prices from the German EPEX market. We find that increasing the diversity of an ensemble can have a positive impact on accuracy. At the same time, the higher computational cost of using CRPS learning compared to an equal-weighted aggregation of distributions is not offset by higher profits, despite significantly more accurate predictions.
Źródło:: Operations Research and Decisions; 2023, 33, 3; 105--118
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Current ripple reduction for finite control set model predictive control strategy of grid-tied inverter with reference current compensation
Autorzy:: Jin, Nan
Fan, Wuchuang
Fang, Jie
Wu, Jie
Shen, Yongpeng
Powiązania:: https://bibliotekanauki.pl/articles/2202542.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: cost function
current ripple reduction
finite control set model predictive control
FCS-MPC
grid-tied inverter
reference current compensation
RCC
Opis:: In the finite control set model predictive control (FCS-MPC) strategy of the grid-tied inverter, the current ripple (CR) affects the selection of optimal voltage vectors, which leads to the increase of output current ripples. In order to solve this problem, this paper proposes a CR reduction method based on reference current compensation (RCC) for the FCS-MPC strategy of grid-tied inverters. Firstly, the influence of the CR on optimal voltage vector selection is analyzed. The conventional CR prediction method is improved, which uses inverter output voltage and grid voltage to calculate current ripples based on the space state equation. It makes up for the shortcomings that the conventional CR prediction method cannot predict in some switching states. The improved CR method is more suitable for the FCS-MPC strategy. In addition, the differences between the two cost functions are compared through visual analysis. It is found that the sensitivity of the square cost function to small errors is better than that of the absolute value function. Finally, the predicted CR is used to compensate the reference current. The compensated reference current is substituted into the square cost function to reduce the CR. The experimental results show that the proposed method reduces the CR by 47.3%. The total harmonic distortion (THD) of output current is reduced from 3.86% to 2.96%.
Źródło:: Archives of Electrical Engineering; 2023, 72, 1; 5--22
1427-4221
2300-2506
Pojawia się w:: Archives of Electrical Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Effect of UV-C Postharvest Disinfection on the Quality of Fresh-Cut 'Tommy Atkins' Mango
Autorzy:: Garzón-García, Alba Mery
Ruiz-Cruz, Saúl
Dussán-Sarria, Saúl
Hleap-Zapata, José Igor
Márquez-Ríos, Enrique
Del-Toro-Sánchez, Carmen Lizette
Tapia-Hernández, José Agustín
Canizales-Rodríguez, Dalila Fernanda
Ocaño-Higuera, Víctor Manuel
Powiązania:: https://bibliotekanauki.pl/articles/16538533.pdf
Data publikacji:: 2023-02-16
Wydawca:: Instytut Rozrodu Zwierząt i Badań Żywności Polskiej Akademii Nauk w Olsztynie
Tematy:: minimal processing
surface color
native microorganisms
predictive microbiology
ultraviolet short wave irradiation
Opis:: Mango cv. ‘Tommy Atkins’ is a highly appreciated fruit for its organoleptic characteristics and its resistance to minimal processing. However, some operations as peeling and cutting can generate microbial contamination and loss of bioactive compounds. Ultraviolet short wave (UV-C) is an alternative technology for fresh-cut products that leads to microbial inactivation and the increase of beneficial compounds. The effect of a UV-C dose of 6 kJ/m2 was evaluated on quality attributes of fresh-cut 'Tommy Atkins' mango during days 0, 3, 6, 9, and 12 of storage (5°C, relative humidity: 85-90%), and compared with a positive control (conventional method by immersion in 10 mg/L sodium hypochlorite solution) and a negative control (without treatment). Physicochemical analysis (titratable acidity, pH, total soluble solid content, and firmness), superficial color evaluation, determinations of microbial counts, contents of total carotenoids, phenolics and flavonoids, and antioxidant capacity assays were performed. The results showed that UV-C treatment allowed to preserve microbial safety and superficial color of stored fresh-cut mango, and to increase the content of total carotenoids, which was 19.34 and 26.50 mg β-carotene/100 g fresh weight (FW) for control and UV-C treated sample at day 12 of storage, respectively. The DPPH• scavenging activity of the UV-C treated mango was also higher (0.60 mM TE/g FW) compared to control (0.27 mM TE/g FW) at the end of storage. However, UV-C treatment caused loss of firmness. Some native microorganisms of mango adapted to the stress caused by the treatments and the storage.
Źródło:: Polish Journal of Food and Nutrition Sciences; 2023, 73, 1; 39-49
1230-0322
2083-6007
Pojawia się w:: Polish Journal of Food and Nutrition Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Extended Identification-Based Predictive Control for adaptive impact mitigation
Autorzy:: Graczykowski, Cezary
Faraj, Rami
Powiązania:: https://bibliotekanauki.pl/articles/27311452.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: adaptive control
optimal control
predictive control
impact mitigation
shock absorber
sterowanie adaptacyjne
optymalna kontrola
kontrola predykcyjna
łagodzenie skutków
amortyzator
Opis:: The paper introduces Extended Identification-Based Predictive Control (EIPC), which is a novel control method developed for the problem of adaptive impact mitigation. The model-based approach utilizing the paradigm of Model Predictive Control is combined with sequential identification of selected system parameters and process disturbances. The elaborated method is implemented in the shock-absorber control system and tested under impact loading conditions. The presented numerical study proves the successful and efficient adaptation of the absorber to unknown excitation conditions as well as to unknown force and leakage disturbances appearing during the process. The EIPC is used for both semi-active and active control of the impact mitigation process, which are compared in detail. In addition, the influence of selected control parameters and disturbance identification on the efficiency of the impact absorption process is assessed. As a result, it can be concluded that an efficient and robust control method was developed and successfully applied to the problem of adaptive impact mitigation.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 4; art. no. e145937
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Hybrid feature selection and support vector machine framework for predicting maintenance failures
Autorzy:: Tarik, Mouna
Mniai, Ayoub
Jebari, Khalid
Powiązania:: https://bibliotekanauki.pl/articles/30148252.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Promocji Wiedzy
Tematy:: predictive maintenance
machine learning
features selection
SMOTE-Tomek
Support Vector Machine
Opis:: The main aim of predictive maintenance is to minimize downtime, failure risks and maintenance costs in manufacturing systems. Over the past few years, machine learning methods gained ground with diverse and successful applications in the area of predictive maintenance. This study shows that performing preprocessing techniques such as over¬sampling and feature selection for failure prediction is promising. For instance, to handle imbalanced data, the SMOTE-Tomek method is used. For feature selection, three different methods can be applied: Recursive Feature Elimination, Random Forest and Variance Threshold. The data considered in this paper for simulation are used in literature. They are used to measure aircraft engine sensors to predict engine failures, while the prediction algorithm used is a Support Vector Machine. The results show that classification accuracy can be significantly boosted by using the preprocessing techniques.
Źródło:: Applied Computer Science; 2023, 19, 2; 112-124
1895-3735
2353-6977
Pojawia się w:: Applied Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 12.

Tytuł:: Internet digital content pricing and subscribers control
Autorzy:: Mejjouali, Sobhi
Tadj, Lotfi
Powiązania:: https://bibliotekanauki.pl/articles/27315325.pdf
Data publikacji:: 2023
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:: maximum principle
model predictive control
optimal control
web content pricing
Opis:: We use optimal control theory to determine the optimal rate of change in the subscription fee and the optimal ratio of ad space to the total web page space for a web content provider. An optimal solution is obtained using the maximum principle approach and the model predictive control approach. Numerical experiments show that it is preferable to use the first approach when the planning horizon is short and the second approach when the planning horizon is long.
Źródło:: Operations Research and Decisions; 2023, 33, 3; 59--73
2081-8858
2391-6060
Pojawia się w:: Operations Research and Decisions
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 13.

Tytuł:: Między słowem a gestem: konsekwencje stosowania technologii wspomagających czytanie i pisanie
Using Technology to Support Reading and Writing: Consequences and Implications
Autorzy:: Augustyn, Kamila
Powiązania:: https://bibliotekanauki.pl/articles/14541481.pdf
Data publikacji:: 2023-01-30
Wydawca:: Uniwersytet Warszawski. Wydział Dziennikarstwa, Informacji i Bibliologii
Tematy:: autosugestie
pisanie gestyczne
współedytowanie
VSTF
urządzenia cyfrowe
new media literacy
rozpoznawanie emocji
predictive text suggestions
gesture writing
collaborative writing
mobile devices
emotion recognition
Opis:: I summarize findings from studies conducted over the last 20 years regarding writing and reading on digital devices. In this literature review, the aim is to explore the effects on human cognitive ability of such functions as predictive text suggestions, gesture writing, collaborative writing, and visual-syntactic text formatting (VSTF). I also consider how writing patterns can be used. Studies have shown that auto-suggestions can significantly change the final message and make it less original. The way in which the content is displayed has a huge impact on how it is perceived. VSTF promotes careful reading, improves memory, and facilitates text analysis in older students. Comparing handwriting to writing using digital devices has demonstrated the importance of visual aspects for the recognition and copying of letters. Handwritten notes improve memory and stimulate deeper levels of cognitive function. The use of VSTF and co-editing documents can be most beneficial to low-level language learners. A more in-depth analysis is needed of emotions' impact on forms of collaboration as well as the efficiency and multimodality of text input on comprehension.
Źródło:: Z Badań nad Książką i Księgozbiorami Historycznymi; 2022, 16, 4; 587-618
1897-0788
2544-8730
Pojawia się w:: Z Badań nad Książką i Księgozbiorami Historycznymi
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 14.

Tytuł:: Model predictive ship trajectory tracking system based on line of sight method
Autorzy:: Miller, Anna
Powiązania:: https://bibliotekanauki.pl/articles/27311431.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: model predictive control
MPC
ship control
autonomous ship
trajectory tracking
line of sight
LOS
kontrola statku
statek autonomiczny
śledzenie trajektorii
linia wzroku
kontrola predykcyjna modelu
Opis:: Maritime Autonomous Surface Ships (MASS) perfectly fit into the future vision of merchant fleet. MASS autonomous navigation system combines automatic trajectory tracking and supervisor safe trajectory generation subsystems. Automatic trajectory tracking method, using line-of-sight (LOS) reference course generation algorithm, is combined with model predictive control (MPC). Algorithm for MASS trajectory tracking, including cooperation with the dynamic system of safe trajectory generation is described. It allows for better ship control with steady state cross-track error limitation to the ship hull breadth and limited overshoot after turns. In real MASS ships path is defined as set of straight line segments, so transition between trajectory sections when passing waypoint is unavoidable. In the proposed control algorithm LOS trajectory reference course is mapped to the rotational speed reference value, which is dynamically constrained in MPC controller due to dynamically changing reference trajectory in real MASS system. Also maneuver path advance dependent on the path tangential angle difference, to ensure trajectory tracking for turns from 0 to 90 degrees, without overshoot is used. All results were obtained with the use of training ship in real–time conditions.
Źródło:: Bulletin of the Polish Academy of Sciences. Technical Sciences; 2023, 71, 5; art. no. e145763
0239-7528
Pojawia się w:: Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 15.

Tytuł:: Modeling the fuel consumption by a HEV vehicle - a case study
Autorzy:: Lisowski, Maciej
Gołębiewski, Wawrzyniec
Prajwowski, Konrad
Danilecki, Krzysztof
Radwan, Mirosław
Powiązania:: https://bibliotekanauki.pl/articles/24202465.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Naukowe Silników Spalinowych
Tematy:: hybrid electric vehicle
fuel consumption
model predictive control
factory control
energy consumption
hybrydowy pojazd elektryczny
zużycie paliwa
sterowanie predykcyjne
kontrola produkcji
zużycie energii
Opis:: The article presents a mathematical model demonstrating the synergy of HEV energetic machines in accordance with the model predictive control. Then the results of road tests are presented. They were based on the factory control of the above-mentioned system. The results of the operating parameters of the system according to the factory control and the results of the operating parameters according to the model predictive control were compared. On their basis, it could be concluded that the model predictive control contributed to changes in the power and electrochemical charge level of the energy storage system from 50.1% (the beginning) to 56.1% (the end of course) and for MPC from 50.1% (the beginning) to 59.9% (the end of the course). The applied MPC with 13 reference trajectories (LQT) of power machines of the series-parallel HEV allowed for fuel savings on the level of 4%.
Źródło:: Combustion Engines; 2023, 62, 2; 71--83
2300-9896
2658-1442
Pojawia się w:: Combustion Engines
Dostawca treści:: Biblioteka Nauki

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Wyszukujesz frazę "Predictive" wg kryterium: Temat

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