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Journal articles on the topic 'Automatic control'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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1

Chikkodi, Manoj Basavraj, Shreya Atul Karawade, Jainab Shahabuddin Shikalga, and Dr S. B. Patil. "Automatic Gate Control System." International Journal of Research Publication and Reviews 5, no. 3 (March 9, 2024): 3878–82. http://dx.doi.org/10.55248/gengpi.5.0324.0794.

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2

Baranov, L. A. "AUTOMATIC CONTROL OF METRO TRAINS." World of Transport and Transportation 16, no. 3 (June 28, 2018): 156–65. http://dx.doi.org/10.30932/1992-3252-2018-16-3-14.

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For the English abstract and full text of the article please see the attached PDF-File (English version follows Russian version).ABSTRACT The experience of development of domestic automatic traffic control systems for metro trains is analyzed, taking into account high intensity and low redundancy of the line capacity necessary to compensate for disturbances. A brief overview of development of an automated control system is given; the dynamics of changes in the systems of automatic train operation is shown. The analysis of the transformation of algorithms for centralized control of metro trains, the features of time-travel controllers, the requirements for construction of technical means for determining the distance traveled and the speed regime are given. Keywords: metro, automatic traffic control system, dynamics of development, safety, automatic train operation, time-travel controllers, algorithms.

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3

Prof.S.B.Gholap, Prof S. B. Gholap, and Nishikant Tukaram Bhosale. "Automatic Energy Metering & Control Using Zigbee." Indian Journal of Applied Research 3, no. 7 (October 1, 2011): 215–17. http://dx.doi.org/10.15373/2249555x/july2013/67.

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4

Patil, Miss Snehal, Miss Komal Jadhav, and Miss Rutuja Chinchawde Miss Aditi Patil Mr Sagar V. Chavan. "Automatic Railway Gate Control System Using Android." International Journal of Trend in Scientific Research and Development Volume-2, Issue-6 (October 31, 2018): 820–24. http://dx.doi.org/10.31142/ijtsrd18741.

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Kumar, Dr S. Senthil, Sathiyaprakash K, and Vijay R. Sudharsan D. "Automatic Headlight Control with Central Locking System." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 70–72. http://dx.doi.org/10.31142/ijtsrd8217.

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6

Menasce, D. A. "Automatic QoS control." IEEE Internet Computing 7, no. 1 (January 2003): 92–95. http://dx.doi.org/10.1109/mic.2003.1167347.

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7

Evans, Lee. "Automatic blind control." Electronic Systems News 1989, no. 1 (1989): 25. http://dx.doi.org/10.1049/esn.1989.0010.

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8

Shi, Qing Ping, and Yi Min Mo. "Design of Double Closed Loop Control System of Automatic Clutch." Advanced Materials Research 383-390 (November 2011): 237–42. http://dx.doi.org/10.4028/www.scientific.net/amr.383-390.237.

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The control system of automatic clutch is based on the manual gearbox instead of the clutch pedal. It realizes automated clutch and manual shifting. The essence of automatic clutch is how to control the motor drive unit to achieve the implementation of the automatic clutch separation and bonding, and thus automatic speed technology of motor is the key. In this paper, combining the characteristics of micro-car, a double-loop automatic motor speed control system is designed. The design is proved reasonable and feasible through simulation based on MATLAB.

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Lebedev, Dmitriy V., and Victor L. Timchenko. "The Twentieth International Conference on Automatic Control "AUTOMATICS-2013"." Journal of Automation and Information Sciences 45, no. 12 (2013): 68–69. http://dx.doi.org/10.1615/jautomatinfscien.v45.i12.70.

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10

Bialevich, A. V., V. N. Grishchuk, M. M. Tatur, and Y. F. Mikhalkevich. "DEVELOPMENT OF CONTROL ALGORITHMS FRICTION CLUTCHES AUTOMATIC TRANSMISSIONS." Eurasian Journal of Mathematical and Computer Applications 2, no. 1 (2014): 5–13. http://dx.doi.org/10.32523/2306-3172-2014-2-1-5-13.

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11

TUDOSIE, Alexandru Nicolae. "AUTOMATIC CONTROL SYSTEM FOR SUPERSONIC INLET’S CENTERBODY’S POSITIONING." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 20 (June 18, 2018): 253–60. http://dx.doi.org/10.19062/2247-3173.2018.20.34.

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12

Jinnan Zhang, Jinnan Zhang, Yue Gu Yue Gu, Xueguang Yuan Xueguang Yuan, Feng Tian Feng Tian, Xiaoguang Zhang Xiaoguang Zhang, and Jinjing Tao Jinjing Tao. "New control algorithm for automatic PMD compensation system." Chinese Optics Letters 10, no. 3 (2012): 030607–30610. http://dx.doi.org/10.3788/col201210.030607.

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13

S Kulkarni, Shubhada. "IoT-Based Automatic Generator Control System for Industry." International Journal of Science and Research (IJSR) 11, no. 8 (August 5, 2022): 923–26. http://dx.doi.org/10.21275/sr22812122616.

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14

Madhava, Meghna, N. Meghana, Mulpuru Supriya, Div ya, and Siddalingesh S. Navalgund. "Automatic Train Control System Using Fuzzy Logic Controller." Bonfring International Journal of Research in Communication Engineering 6, Special Issue (November 30, 2016): 56–61. http://dx.doi.org/10.9756/bijrce.8201.

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15

Ikponmwosa, Oghogho, Otuagoma S., Ufuoma Jeffrey Okieke, Ebimene E. E., Dania B. P., Azubogu D. I., Anamonye U.G., et al. "FACE RECOGNITION SYSTEM FOR AUTOMATIC DOOR ACCESS CONTROL." Engineering and Technology Journal 08, no. 02 (February 3, 2023): 1981–85. http://dx.doi.org/10.47191/etj/v8i2.03.

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A face recognition system for automatic door access control has been developed in this work with a view to providing a relatively more robust and foolproof access control which can provide better security and reduce human errors inherent in other conventional methods. The system was designed with machine learning and artificial intelligence to capture faces, train faces with machine mode, and run trained faces to grant access to the user. The system uses the RaspberryPi module, camera module, servo motor and the GSM module which were all incorporated into the fabricated building to make up the prototype developed to provide access control by means of facial biometrics. In order to grant access to registered users, various photos of the users were taken in different positions and expressions with proper illumination. The user’s face is been captured by the camera module and saved in the database with the help of Raspberry Pi Module. Good lighting condition and other favorable conditions helps the camera module to recognize faces and sends signal to the Raspberry Pi which processes these images and opens the door with the help of the servo motor. The developed prototype was used to train fifty (50) users. It granted access to all fifty (50) users when there was proper illumination and pose but five (5) and nine (9) users respectively were denied access due to challenges of poor illumination and pose variation.

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Mateichuk, V. M., S. M. Zinchenko, and O. M. Tovstokoryi. "AUTOMATIC CONTROL OF THE VESSEL IN A STORM." Scientific Bulletin Kherson State Maritime Academy 1–2, no. 26–27 (2023): 120–32. http://dx.doi.org/10.33815/2313-4763.2023.1-2.26-27.120-132.

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17

Shinde, Nikhil, Aditya Bhapkar, Pratik Pawar, and Prof Sanjay Dixit. "Automatic Headlight Control & Fog Reduction Using ESP32CAM." International Journal of Research Publication and Reviews 5, no. 5 (May 17, 2024): 10418–24. http://dx.doi.org/10.55248/gengpi.5.0524.1381.

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18

Speckman, B. M., and K. J. Wells. "Juggling power control (automatic generation control)." IEEE Potentials 7, no. 2 (May 1988): 8–11. http://dx.doi.org/10.1109/45.1898.

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19

Wiendahl, Hans-Peter, and Jan-Wilhelm Breithaupt. "Automatic production control applying control theory." International Journal of Production Economics 63, no. 1 (January 2000): 33–46. http://dx.doi.org/10.1016/s0925-5273(98)00253-9.

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20

Gurskiy, A. A., A. E. Goncharenko, and S. M. Dubna. "AUTOMATIC SYNTHESIS OF PETRI NETS AT TUNING UP OF THE COORDINATING AUTOMATIC CONTROL SYSTEMS." ELECTRICAL AND COMPUTER SYSTEMS 33, no. 108 (November 30, 2020): 34–44. http://dx.doi.org/10.15276/eltecs.32.108.2020.4.

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The process of automated tuning for the coordinating automatic control system is considered in this paper. This process of tuning for the coordinating control system is linked to the automatic synthesis of Petri nets based on functioning of the artificial neural network. Thereby, we can automate the process of tuning and synthesis of system models and also solve the urgent task linked to the minimization of tuning time for the multilevel control systems. The purposes of the scientific work are time reduction of the tuning and automatization of the tuning for the multilevel coordinating systems of the automatic control. In order to achieve this purpose in the MATLAB \ Simulink software environment it is necessary to devel- op the system for automated tuning of the regulators of various levels for the coordinating automatic control system. The application of artificial neural network with automatic synthesis of Petri nets allows to introduce intelligent technology in the automated tuning system. In this work we have presented the corresponding block diagrams of considered automated tuning system and the principles of its functioning. The certain principle of the formation of Petri nets is proposed. These Petri nets represent the algorithms of tuning in the systems for analysis the corresponding processes. The formation of the composition in the scheme from Petri net during the functioning of the artificial neural network is presented in the paper. The results of experiment are presented in the final part of this work. This time characteristics of the pro- cess of setting up for the coordinating automatic control system of foodstuffs cooling in tunnel chamber. The experiments were conducted in the Matlab 2012a environment. Based on the results of the experiment we have depicted the process of synthesis of the Petri net representing the system tuning algorithm. The performed experiments have showed the principal suitability of the automated search system for the settings of the regulators of various levels of the coordinating control system. The technique of automatic synthesis of Petri nets based on the functioning of artificial neural networks has obtained the further devel- opment while performing the approved task in the scientific paper.

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21

Morozov, A. O. "Decision-making. Terms and definitions." Mathematical machines and systems 2 (2022): 64–67. http://dx.doi.org/10.34121/1028-9763-2022-2-64-67.

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Decision-making is directly connected with purposeful human activity. All people are engaged in this process on a daily basis both personally and using automatic or automated systems. The paper considers the issues of decision-making technology in automatic and automated systems, identifies the main stages of decision making: data – information – knowledge – decision making – decision implementation. There are defined terms «data», «information», «knowledge», «decision», «implementation» which are used at the stages of decision making and decision implementation in automated and automatic control systems. In the paper, there are provided definitions of automatic and automated systems, robots as a separate class of automatic systems, as well as the next stage of development of robots – self-organizing automatic machines which are independently configured to perform various target functions based on the rules of acquiring knowledge. Some features of large systems such as industry or state are noted. For such systems, it is impossible to get all the necessary data about the processes that take place in them. Therefore, the information obtained as a result of their processing will not provide enough knowledge for decision-making on system management. Missing knowledge can be obtained thanks to the unformalized knowledge of people. The definition of unformalized knowledge is provided as well. The paper forms the principles of building automated and automatic systems using artificial intelligence and describes the sequence of control processes in any automatic or automated control system

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22

Mita, Tsutomu. "Introduction to automatic control." HYBRIDS 5, no. 4 (1989): 4–9. http://dx.doi.org/10.5104/jiep1985.5.4_4.

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23

Rashmi Koushik et al.,, Rashmi Koushik et al ,. "Automatic Landing Control System." International Journal of Mechanical and Production Engineering Research and Development 10, no. 3 (2020): 7639–50. http://dx.doi.org/10.24247/ijmperdjun2020726.

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24

Danesfahani, Reza, and Ali Montazeri. "Optimized Automatic Frequency Control." IEEJ Transactions on Electronics, Information and Systems 126, no. 8 (2006): 938–41. http://dx.doi.org/10.1541/ieejeiss.126.938.

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25

Rosenbrock, Howard. "Purpose and automatic control." Computing & Control Engineering Journal 3, no. 2 (1992): 88. http://dx.doi.org/10.1049/cce:19920026.

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26

BRALEWSKI, S. G. "UNDERSTANDING AUTOMATIC COMBUSTION CONTROL." Journal of the American Society for Naval Engineers 73, no. 4 (March 18, 2009): 715–18. http://dx.doi.org/10.1111/j.1559-3584.1961.tb03329.x.

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27

Pachter, M., J. J. D'Azzo, and J. L. Dargan. "Automatic formation flight control." Journal of Guidance, Control, and Dynamics 17, no. 6 (November 1994): 1380–83. http://dx.doi.org/10.2514/3.21364.

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28

Prabhakar, Mr G., B. Ravalika, M. Neha, P.Srujana, and P.Sneha. "AUTOMATIC RAILWAY GATE CONTROL." International Journal For Innovative Engineering and Management Research 13, no. 09 (2024): 71–81. http://dx.doi.org/10.36893/ijiemr/2024/v13/i09/9.

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In place of the current system, which requires a human to operate the gates at level crossings, this study proposes an automated system that can identify when a train is halted, send out an alarm, and open or close the gate accordingly. A railway gate controller, an alarm module, a signal light module, a stuck detection module, a train detection module, and a controller module are all developed to give a solution. While the stuck detection module has one ultrasonic sensor, the train detection module only has four. The train detection and stuck detection modules use ultrasonic sensors to send out high-frequency signals; when these signals are reflected back to the sensors, they indicate the presence of an item. The controller unit then presses the appropriate buttons to activate the gate, alarm generator, and signal lights based on whether the obstruction is a train or stuck. The results of the experimental experiments demonstrate that compared to the current dominating work, the suggested technique produces a railway gate controller that is more cost-effective, dependable, and straightforward. A level crossing alarm system that uses ultrasonic sensors to detect trains and other obstacles.

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29

SMITH, N. TY, M. L. QUINN, J. FLICK, Y. FUKUI, R. FLEMING, and J. R. COLES. "Automatic Control in Anesthesia." Survey of Anesthesiology 29, no. 1 (February 1985): 21. http://dx.doi.org/10.1097/00132586-198502000-00018.

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30

Azzam, M. "Robust automatic generation control." Energy Conversion and Management 40, no. 13 (September 1999): 1413–21. http://dx.doi.org/10.1016/s0196-8904(99)00040-0.

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31

Mayerthaler, R. "Automatic beer fermentation control." Trends in Food Science & Technology 8, no. 10 (October 1997): 349. http://dx.doi.org/10.1016/s0924-2244(97)85563-x.

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32

Isermann, Rolf. "Perspectives of automatic control." Control Engineering Practice 19, no. 12 (December 2011): 1399–407. http://dx.doi.org/10.1016/j.conengprac.2011.08.004.

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33

Jaleeli, N., L. S. VanSlyck, D. N. Ewart, L. H. Fink, and A. G. Hoffmann. "Understanding automatic generation control." IEEE Transactions on Power Systems 7, no. 3 (1992): 1106–22. http://dx.doi.org/10.1109/59.207324.

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34

Green, R. K. "Transformed automatic generation control." IEEE Transactions on Power Systems 11, no. 4 (1996): 1799–804. http://dx.doi.org/10.1109/59.544645.

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35

McLean, Donald. "Automatic Flight Control Systems." Measurement and Control 36, no. 6 (July 2003): 172–75. http://dx.doi.org/10.1177/002029400303600602.

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36

Sadraey, Mohammad. "Automatic Flight Control Systems." Synthesis Lectures on Mechanical Engineering 4, no. 1 (February 13, 2020): 1–173. http://dx.doi.org/10.2200/s00968ed1v01y201911mec023.

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37

Kobzev, A. A., and L. K. Generalov. "Automatic control of turning." Russian Engineering Research 29, no. 2 (February 2009): 214–16. http://dx.doi.org/10.3103/s1068798x09020233.

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38

Wilhelms, Jane. "Toward Automatic Motion Control." IEEE Computer Graphics and Applications 7, no. 4 (April 1987): 11–22. http://dx.doi.org/10.1109/mcg.1987.276867.

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39

Weindorf, Paul. "Automatic luminance control summarized." Journal of the Society for Information Display 25, no. 1 (December 28, 2016): 20–33. http://dx.doi.org/10.1002/jsid.510.

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40

Šumanovac, Luka, Mladen Jurišić, Petar Lukač, Stjepan Sito, and Domagoj Zimmer. "Automatic sprayer operation control." Glasnik zaštite bilja 46, no. 5 (October 14, 2023): 38–46. http://dx.doi.org/10.31727/gzb.46.5.4.

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U radu je prikazana suvremena poljoprivredna tehnika u zaštiti bilja kroz pojašnjen pristup rada automatske kontrole rada prskalice. Prikazani su moderni sustavi za nivelaciju armature upotrebom senzora i ukazana važnost korištenja GIS navođenja kao glavne smjernice precizne poljoprivrede. U radu su dani konkretni primjeri prskalica na kojima su postavljeni automatski sustavi poput Amatron 3, Arag sustav, BoomTrac Pro gdje su ukazane sve prednosti navedenih. Korištenjem suvremene tehnike i dodatne digitalne opreme omogućena je kvalitetna aplikacija zaštitnih sredstava uz višestruke uštede.

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41

SHAHRUKH, MULANI, NAVALE PARMESHWAR, RASHINKAR SUMIT, KAMBALE SWAPNIL, and DIXIT SANDESH. "AUTOMATIC TRAFFIC CONTROL SYSTEM." IJIERT - International Journal of Innovations in Engineering Research and Technology NCMTEE-2K18 (March 31, 2018): 46–49. https://doi.org/10.5281/zenodo.1451154.

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<strong>Nowadays traffic signal controllers are mostly based on microprocessor and microcontroller. These TSC have some drawbac ks because it uses the hardware which works according to programme that does not have flexibility. In present traffic control system,fixed time interval is provided for the signals independent of traffic density. Due to this waiting time for vehicles is m ore so it is not efficient as vehicles consumes more fuel and at the same time causes air pollution. W e exploit the emergence of new technique called as "Intelligent traffic light controller". This makes the use of Sensor Networks along with Embedded Techn ology. The timings of traffic signals at each crossing of road will be intellig ently decided based on the traffic density on all adjacent roads. Also we have provided manual control to signals to use it at the time of emergency and failure of automatic con trol. So overall design of the system helps to reduce traffic congestion on road which yields to have efficient control of traffic. As we have provided manual control,we can control traffic as per necessity. So due to these advantages we go for automatic traffic control system.</strong> <strong><strong>https://www.ijiert.org/paper-details?paper_id=141221</strong></strong>

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42

Shaout, Adnan, Syed Ahmad, and Dan Osborn. "Comparison of Fuzzy Logic Control and Model Predictive Control for a Smart Adaptive Cruise Control Vehicle System." Jordan Journal of Electrical Engineering 10, no. 1 (2024): 27. http://dx.doi.org/10.5455/jjee.204-1687812578.

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Adaptive Cruise Control (ACC), Cruise Control (CC), and Automatic Emergency Braking (AEB) serve as the basis of longitudinal automated driving, and as Adaptive cruise control (ACC), cruise control (CC), and automatic emergency braking (AEB) serve as the basis of longitudinal automated driving, and as such have been the subject of much research. Model predictive control (MPC) and fuzzy logic are often considered to be the next steps in improving the capability of these systems, but the two control strategies have not been compared to each other in the ACC, CC and AEB applications. Also, the three features (ACC, CC and AEB) have never been compiled into a single fuzzy logic controller. The purpose of this paper is to design a fuzzy logic-based ACC, CC, and AEB controller and compare it to an equivalent MPC controller. All three controllers control the desired longitudinal acceleration, and their functionality is tested using Matlab’s Fuzzy Logic Designer and other Simulink toolboxes. Ultimately, the results of the analysis demonstrate that the proposed fuzzy controller operates just as well if not better than the MPC controller and that the fuzzy controller is able to operate well in all tested scenarios.

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43

Hernández, R., M. Maruri, K. Otxoa de Alda, J. Egaña, and S. Gaztelumendi. "Quality control procedures at Euskalmet data center." Advances in Science and Research 8, no. 1 (June 15, 2012): 129–34. http://dx.doi.org/10.5194/asr-8-129-2012.

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Abstract. The Basque Country Mesonet measures more than 130 000 observations daily from its 85 Automatic Weather Stations (AWS). It becomes clear that automated software is an indispensable tool for quality assurance (QA) of this mesoscale surface observing network. This work describes a set of experimental semi-automatic quality control (QC) routines that is applied at Euskalmet data center. It has paid special attention to level validation design and associated flags, as well as to the system outputs, which are used by meteorologist and maintenance staff.

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Suhih, Nikolai, and Valentin Rukavishnikov. "Research of the Processes of Aircraft Director Control at Board Calculator Failure." Automation on transport 8, no. 2 (June 14, 2022): 121–32. http://dx.doi.org/10.20295/2412-9186-2022-8-2-121-132.

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It’s accepted to divide aircraft automatic control into semi-automatic (director) and automatic. Semi-automatic (director) systems provide for the collection and analysis of information, delivered from navigation equipment. On aircraft position in space and give a command to a pilot. Aircraft management with the help of such piloting-navigational systems is called semi-automatic because information collection and processing on aircraft condition is automated but the control’s left to be manual. Automatic control systems provide not just for information collection and processing on aircraft state but also for management laws as well as for control process itself. A man implements functions on automatic system work control, on identifying, making decisions on inclusion of this or that program, function of "hot" reserve. Present article shows experiment organization and obtained results on research of the processes of airplane director management while failures of board calculator of trajectory control system with real pilot inclusion into circuit. The research is held on the stage of aircraft approach and landing. The experiment was held on special bench of half-real modeling.

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45

PARKHOMENKO, S. G., and G. G. PARKHOMENKO. "SIMULATION OF AUTOMATIC CONTROL SYSTEMS OF TILLAGE UNITS." Traktory i sel hozmashiny 84, no. 1 (January 15, 2017): 22–31. http://dx.doi.org/10.17816/0321-4443-66258.

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The studies were performed to improve workflow of hydraulic automatic control systems of the tillage units. Tillage quality should not deteriorate. Working bodies of tillage machines have to be moved automatically. Automated devices can be separated into two groups: direct and indirect action. It is preferable to indirect action. The article presents analysis of automatic devices used into tillage machines. Automatic control systems can be hydraulic, electro-hydraulic and pneumatic. Mechanical systems are not effective. Hydraulic systems are cheaper electric and pneumatic. They provide best of energy and quality indicators of technological process of tillage. Automatic control systems are uses draft forces, hitch position, depth of the implement, speed, acceleration and other sensors. Method of computer modeling and optimization of hydraulic automatic control systems of tillage units was developed. Results of computer modeling of hydraulic automatic control systems help to select direction of improving quality and energy indicators of technological process of tillage. Optimized combine implement depth and draft control system of arable unit allow reducing deviation the draft force of the plow; deviation of the depth of plowing is equal to or smaller than agro-technical requirements. Deviation of the draft force was decreased to 13.5 % for deviation specific soil resistance - 20 %, depth of plowing - 0.21 m, deviation of the depth of plowing - 0.019 m (9 %). Deviation of the depth of plowing may be decreased to 0.010 m (4,8 %), but deviation of the draft force shell be increased up to 16.2%. Optimized hydraulic automatic control system of garden tiller with a trapezoidal mechanism leaves smaller untreated soil area from 1.37-1.46 times.

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46

Rajput, Priti, and Parveen Kumar Lehana. "Automatic Control of Microfluidic Flow Using Natural H ydrogels." Indian Journal of Science and Technology 15, no. 23 (June 21, 2022): 1151–58. http://dx.doi.org/10.17485/ijst/v15i23.52.

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47

Zinchenko, S., P. Mamenko, O. Grosheva, and V. Mateychuk. "AUTOMATIC CONTROL OF THE VESSEL’S MOVEMENT UNDER EXTERNAL CONDITIONS." Scientific Bulletin Kherson State Maritime Academy 2, no. 21 (2019): 10–15. http://dx.doi.org/10.33815/2313-4763.2019.2.21.010-015.

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48

Mamenko, Pavlo. "Minimization of ships' passing path in the field of risks." Technology audit and production reserves 2, no. 2(70) (March 31, 2023): 21–25. http://dx.doi.org/10.15587/2706-5448.2023.276419.

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The object of research is the processes of automatic optimal passing of ships in the field of risks. ARPA (automatic radar plotting aid) is used on modern ships to track targets and pass from them. ARPA is an automated system that assumes the presence of an operator in the loop of information processing and management. Today, operator interventions in control processes are quite significant and often lead to an increase in the number of accidents and disasters. Recently, specialists have been paying more and more attention to the automation of ship control processes. The most promising direction of automation is the use of automatic control modules in automated systems. In this case, the shipmaster only decides to use the automatic module and observes its operation. An example of an automatic module in an automated system is autosteering, which has been used on ships for over 100 years. The paper considers the method of automatic optimal passing of ships in the field of risks. The method allows to minimize the path of passing, provided that the given collision risk is not exceeded. The obtained results are explained by the use of an on-board computer for the calculation of controls. In the on-board computer, at each step of the calculation, a field of risks is built. For the position point of the ship in the field of risks, there is a field gradient and a direction of movement of the ship perpendicular to the gradient. The direction of movement of the ship at each point is tangent to the trajectory of passing – an ellipse of equal risk. The ellipse of equal risks is used as a motion program for the formation of controls that ensure the movement of the ship along the ellipse of a given risk during the passing process. The developed method can be used for the development of automatic modules for managing the passing of ships in the field of risks.

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49

Pavlo, Mamenko. "Minimization of ships' passing path in the field of risks." Technology audit and production reserves 2, no. 2(70) (April 30, 2023): 21–25. https://doi.org/10.15587/2706-5448.2023.276419.

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<em>The object of research is the processes of automatic optimal passing of ships in the field of risks. ARPA (automatic radar plotting aid) is used on modern ships to track targets and pass from them. ARPA is an automated system that assumes the presence of an operator in the loop of information processing and management. Today, operator interventions in control processes are quite significant and often lead to an increase in the number of accidents and disasters. Recently, specialists have been paying more and more attention to the automation of ship control processes. The most promising direction of automation is the use of automatic control modules in automated systems. In this case, the shipmaster only decides to use the automatic module and observes its operation. An example of an automatic module in an automated system is autosteering, which has been used on ships for over 100 years.</em> <em>The paper considers the method of automatic optimal passing of ships in the field of risks. The method allows to minimize the path of passing, provided that the given collision risk is not exceeded. The obtained results are explained by the use of an on-board computer for the calculation of controls. In the on-board computer, at each step of the calculation, a field of risks is built. For the position point of the ship in the field of risks, there is a field gradient and a direction of movement of the ship perpendicular to the gradient. The direction of movement of the ship at each point is tangent to the trajectory of passing – an ellipse of equal risk. The ellipse of equal risks is used as a motion program for the formation of controls that ensure the movement of the ship along the ellipse of a given risk during the passing process.</em> <em>The developed method can be used for the development of automatic modules for managing the passing of ships in the field of risks.</em>

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50

Yu, Jian Zhi, and Yong Sheng Chen. "Study on Control Strategy of Train Automatic Speed Control System." Advanced Materials Research 291-294 (July 2011): 2763–66. http://dx.doi.org/10.4028/www.scientific.net/amr.291-294.2763.

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To improve the efficiency of the automatic control in the process of train operation, reduce state transition caused by the signal interference and guarantee the safe operation of automatic train operation system, a kind of train automatic speed control strategy based on the fuzzy-predictive control algorithm is put forward. According to the dual-redundant control model, the reliability and safety of the train automatic speed control system is analyzed. Using anti-interference design, a series of model simulations have been accomplished. The results show that the system has good reliability.

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