RAQAMLI EGIZAK TEXNOLOGIYASINING “AVTOMATIK BOSHQARISH NAZARIYASI” FANIDAN LABORATORIYA MASHG‘ULOTLARIDAGI DIDAKTIK IMKONIYATLARI
DOI:
https://doi.org/10.67227/vgzqvf36Kalit so‘zlar:
raqamli egizak; avtomatik boshqarish nazariyasi; laboratoriya mashg‘uloti; raqamli soya; o‘quv maketi; identifikatsiya; PID rostlagich.Abstrak
Maqolada raqamli egizak texnologiyasining “Avtomatik boshqarish nazariyasi” fanidan laboratoriya mashg‘ulotlarida virtual va real tajribalarni integratsiyalash vositasi sifatidagi imkoniyatlari tahlil qilingan. Raqamli egizak tushunchasining rivojlanishi, uning raqamli model va raqamli soyadan farqlari hamda ta’limdagi funksiyalari umumlashtirilgan. Laboratoriya ta’limidagi didaktik imkoniyatlar tasniflanib, fan bo‘limlari, o‘quv maketlari va ularning raqamli modellari o‘rtasidagi muvofiqlik belgilangan. O‘zgarmas tok dvigateli tezligini rostlash misolida “model – real tajriba – taqqoslash – aniqlashtirish” sikliga asoslangan namunaviy laboratoriya ishining tuzilmasi taklif etilgan.
Yuklashlar
Havolalar
1. Jong T. de, Linn M. C., Zacharia Z. C. Physical and Virtual Laboratories in Science and Engineering Education // Science. – 2013. – Vol. 340, № 6130. – P. 305–308. – DOI: 10.1126/science.1230579.
2. Olympiou G., Zacharia Z. C. Blending Physical and Virtual Manipulatives: An Effort to Improve Students' Conceptual Understanding through Science Laboratory Experimentation // Science Education. – 2012. – Vol. 96, № 1. – P. 21–47. – DOI: 10.1002/sce.20463.
3. Abdulwahed M., Nagy Z. K. Applying Kolb's Experiential Learning Cycle for Laboratory Education // Journal of Engineering Education. – 2009. – Vol. 98, № 3. – P. 283–294.
4. Lindsay E. D., Good M. C. Effects of Laboratory Access Modes upon Learning Outcomes // IEEE Transactions on Education. – 2005. – Vol. 48, № 4. – P. 619–631. – DOI: 10.1109/TE.2005.852591.
5. Kheir N. A., Åström K. J., Auslander D. et al. Control Systems Engineering Education // Automatica. – 1996. – Vol. 32, № 2. – P. 147–166.
6. Antsaklis P., Basar T., DeCarlo R. et al. Report on the NSF/CSS Workshop on New Directions in Control Engineering Education // IEEE Control Systems Magazine. – 1999. – Vol. 19, № 5. – P. 53–58. – DOI: 10.1109/MCS.1999.793442.
7. Rossiter J. A., Pasik-Duncan B., Dormido S. et al. A Survey of Good Practice in Control Education // European Journal of Engineering Education. – 2018. – Vol. 43, № 6. – P. 801–823. – DOI: 10.1080/03043797.2018.1428530.
8. Grieves M., Vickers J. Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems // Transdisciplinary Perspectives on Complex Systems / ed. by F.-J. Kahlen, S. Flumerfelt, A. Alves. – Cham: Springer, 2017. – P. 85–113. – DOI: 10.1007/978-3-319-38756-7_4.
9. Tao F., Zhang H., Liu A., Nee A. Y. C. Digital Twin in Industry: State-of-the-Art // IEEE Transactions on Industrial Informatics. – 2019. – Vol. 15, № 4. – P. 2405–2415. – DOI: 10.1109/TII.2018.2873186.
10. Wright L., Davidson S. How to Tell the Difference between a Model and a Digital Twin // Advanced Modeling and Simulation in Engineering Sciences. – 2020. – Vol. 7. – DOI: 10.1186/s40323-020-00147-4.
11. Rasheed A., San O., Kvamsdal T. Digital Twin: Values, Challenges and Enablers from a Modeling Perspective // IEEE Access. – 2020. – Vol. 8. – P. 21980–22012. – DOI: 10.1109/ACCESS.2020.2970143.
12. Kritzinger W., Karner M., Traar G. et al. Digital Twin in Manufacturing: A Categorical Literature Review and Classification // IFAC-PapersOnLine. – 2018. – Vol. 51, № 11. – P. 1016–1022. – DOI: 10.1016/j.ifacol.2018.08.474.
13. Liljaniemi A., Paavilainen H. Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers // Open Engineering. – 2020. – Vol. 10, № 1. – P. 377–385. – DOI: 10.1515/eng-2020-0040.
14. Reck R. M. Common Learning Objectives for Undergraduate Control Systems Laboratories // IEEE Transactions on Education. – 2017. – Vol. 60, № 4. – P. 257–264. – DOI: 10.1109/TE.2017.2681624.
15. Reck R. M., Sreenivas R. S. Developing an Affordable and Portable Control Systems Laboratory Kit with a Raspberry Pi // Electronics. – 2016. – Vol. 5, № 3. – Art. 36. – DOI: 10.3390/electronics5030036.
16. Sánchez J., Dormido S., Pastor R., Morilla F. A Java/Matlab-Based Environment for Remote Control System Laboratories: Illustrated with an Inverted Pendulum // IEEE Transactions on Education. – 2004. – Vol. 47, № 3. – P. 321–329. – DOI: 10.1109/TE.2004.825525.
17. Ljung L. System Identification: Theory for the User. – 2nd ed. – Upper Saddle River, NJ: Prentice Hall PTR, 1999. – 609 p.
18. Ogata K. Modern Control Engineering. – 5th ed. – Upper Saddle River: Prentice Hall, 2010. – 894 p.
19. Franklin G. F., Powell J. D., Emami-Naeini A. Feedback Control of Dynamic Systems. – 8th ed. – New York: Pearson, 2019.
20. Åström K. J., Murray R. M. Feedback Systems: An Introduction for Scientists and Engineers. – Princeton, NJ: Princeton University Press, 2008.
21. Gibson I., Rosen D., Stucker B., Khorasani M. Additive Manufacturing Technologies. – 3rd ed. – Cham: Springer, 2021. – 675 p. – DOI: 10.1007/978-3-030-56127-7.
22. Ford S., Minshall T. Invited Review Article: Where and How 3D Printing Is Used in Teaching and Education // Additive Manufacturing. – 2019. – Vol. 25. – P. 131–150. – DOI: 10.1016/j.addma.2018.10.028.
23. Pearce J. M. Building Research Equipment with Free, Open-Source Hardware // Science. – 2012. – Vol. 337, № 6100. – P. 1303–1304. – DOI: 10.1126/science.1228183.
24. Kirschner P. A., Sweller J., Clark R. E. Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching // Educational Psychologist. – 2006. – Vol. 41, № 2. – P. 75–86. – DOI: 10.1207/s15326985ep4102_1.
25. Hattie J. Visible Learning: A Synthesis of over 800 Meta-Analyses Relating to Achievement. – London: Routledge, 2009. – 378 p.
26. Ziegler J. G., Nichols N. B. Optimum Settings for Automatic Controllers // Transactions of the ASME. – 1942. – Vol. 64, № 8. – P. 759–765. – DOI: 10.1115/1.4019264.
27. Åström K. J., Hägglund T. Advanced PID Control. – Research Triangle Park, NC: ISA, 2006.
28. Mayer R. E. Multimedia Learning. – 2nd ed. – New York: Cambridge University Press, 2009.
