DC Motor Sürücüsü İçin Model Öngörülü Denetleyici Tasarımı

Year 2019, Volume: 10 Issue: 3, 899 - 910, 29.09.2019

İbrahim Kaya Ammar Bawdaka

https://doi.org/10.24012/dumf.591216

Cited By: 1

Abstract

Model Öngörülü Kontrol çok değişkenli kısıtlı sistemlerin denetiminde
kullanılan çok güçlü bir kontrol stratejisidir. Ayrıca, bu denetim metodu
klasik kontrolden çok farklı olup yüksek tasarım becerileri gerektirir. Bu
makale, Model Öngörülü Kontrol stratejilerinden birinin bir DC motorun
matematiksel modeline dayalı uygulanmasının sonuçlarını sunmaktadır. Bu
çalışmanın amacı, bu stratejinin gelişmiş endüstriyel sistemlerde nasıl çalıştığını
göstermek ve bu denetleyicilerin üstlenebileceği aktif rolü göstermektir. Bu
amaçla, Model Öngörülü Kontrol ile klasik PI-P denetleyici arasında benzetim
yoluyla karşılaştırmalar yapılarak Model Öngörülü Kontrolün yüksek kapalı
çevrim performansı gösterilmiştir.

Keywords

Model Öngörülü Kontrol (MPC), DC Motor, PI-P Denetleyici, Matlab, Simulink, MPC Araç Kutusu

References

• Alkurawy, J., and Khamas, N. (2018) ‘Model Predictive Control for DC Motors’, in 1st International Scientific Conference of Engineering Sciences, pp. 56–61.
• Bangia, S., Jain, S., & Neha. (2015). ‘DC Motor Control System Using Model Predictive Controller’, (02), pp. 1010–1014.
• Bemporad, A. (2016). ‘Recent Advances in Model Predictive Control’. Institute For Advanced Studies Lucca.
• Bemporad, A., Morari, M., & Ricker, N. L. (2018). ‘Model Predictive Control Toolbox TM User’s Guide’.
• Boshkovski, G., Stojanovski, G., & Stankovski, M. (2017). ‘Development of Embedded Model Predictive Controller’. In IEEE International Conference on Control and Automation, ICCA (pp. 76–81).
• Burns, S. (2001). ‘Advanced Control Engineering’. London , England: Butterworth-Heinemann.
• Camacho, E. F., & Bordons, C. (2007). ‘Model Predictive Control’. Springer.
• Currie, J., & I. Wilson, D. (2009). ‘A Model Predictive Control Toolbox Intended for Rapid Prototyping’. In 16th Electronics New Zealand Conference (Vol. 2, pp. 7–12).
• Dani, S., Sonawane, D., Ingole, D., & Patil, S. (2017). ‘Performance evaluation of PID, LQR and MPC for DC Motor Speed Control’. In 2nd International Conference for Convergence in Technology (Vol. 2017–Janua, pp. 348–354).
• E. Durmaz, B., Kaçmaz, B., Mutlu, İ., & Söylemez, M. (2018). ‘Implementation and Comparison of LQR-MPC on Active Suspension System’. In 10th International Conference on Electrical and Electronics Engineering (pp. 828–835).
• Gopi, S., Vaidyan, V. M., & Vaidyan, M. V. (2013). ‘Implementation of FPGA Based Model Predictive Control For MIMO Systems’. In Proceedings, IEEE Conference on Systems, Process and Control , Kuala Lumpur(pp. 21–24).
• Joe Qin, S., & A. Badgwell, T. (2003). ‘A Survey of Industrial Model Predictive Control Technology’. In Control Engineering Practice 11 (2003) 733–764 (Vol. 11, pp. 733–764). USA: Elsevier Science.
• Krishnani, R. (2010). ‘Electric Motor Drives: Modeling,Analysis and Control’. Blacksburg. VA: Prentice Hall.
• Maciejowski, J. (2002). ‘Predictive Control With Constraints’. Prentice Hall.
• Nassani, A.,A., Nassif, M. 2012. ‘Automatic Drive Systems (1) Practical Part’.
• Prasetyo, H. F., Rohman, A. S., & Santabudi, M. R. A. R. (2018). ‘Implementation of Model Predictive Control Using Algorithm-3 on Arduino Mega 2560 for Speed Control of BLDC Motor’. In Proceeding in 3rd International Conference on Science in Information Technology: Theory and Application of IT for Education, Industry and Society in Big Data Era, ICSITech 2017 (Vol. 2018–Janua, pp. 642–647).
• Šlapák, V., Kyslan, K., Lacko, M., Fedák, V., & Ďurovský, F. (2016). ‘Finite Control Set Model Predictive Speed Control of a DC Motor’. Hindawi Publishing, 2016, 1--11.
• Syaichu-Rohman, A., & Sirius, R. (2011). ‘Model Predictive Control Implementation On A Programmable Logic Controller For DC Motor Speed Control’. In Proceedings of the International Conference on Electrical Engineering and Informatics, ICEEI 2011 (pp.1–4).