Simulation and Control with 2-DOF PI Controller of Permanent Magnet DC Motors for Solar Energy Systems

Yıl 2018, , 181 - 188, 31.12.2018

Kenan Yanmaz

https://doi.org/10.31466/kfbd.485150

Cited By: 1

Öz

Permanent Magnet Direct Current (PMDC) Motors are advanced electric machines used in speed control applications and where position control is important. Therefore, there are many applications on the simulation and control of these machines. Solar energy systems are a widely used today and is a renewable energy source that will increase its use in the future. In this study, the PMDC motor for solar energy systems is simulated based on detailed mathematical equations and the system is controlled by using two degree of freedom PI (2-DOF PI) controller circuit. Simulation studies were performed in MATLAB / Simulink environment.

Anahtar Kelimeler

Permanent magnet DC motor, PID, 2-DOF PI

Güneş Enerji Sistemlerinde Sürekli Mıknatıslı DC Motorun Benzetimi ve 2-DOF PI Kontrolörü ile Kontrolü

Öz

Sürekli Mıknatıslı Doğru Akım (PMDC) Motorları hız kontrol uygulamalarında ve konum kontrolünün önemli olduğu durumlarda kullanılan gelişmiş elektrik motorlarıdır. Dolayısıyla bu motorların benzetimi ve kontrolü üzerine pek çok uygulama bulunmaktadır. Güneş enerji sistemleri günümüzde yaygın olarak kullanılan ve gelecekte kullanımı artacak olan bir yenilenebilir enerji kaynağıdır. Bu çalışmada güneş enerji sistemleri için PMDC motorun ayrıntılı matematiksel denklemlerinden yola çıkılarak benzetimi yapılmakta ve iki serbestlik dereceli PI (2-DOF PI) kontrolör devresi kullanılarak sistemin kontrolü gerçekleştirilmektedir. Benzetim çalışmaları MATLAB/Simulink ortamında gerçekleştirilmiştir.

Anahtar Kelimeler

Sürekli mıknatıslı DC motor, PID, 2-DOF PI

Kaynakça

• Alfaro, V. M., ve Vilanova, R., (2016). Model Reference Robust Tuning of PID Controllers. Springer International Publishing.
• Altaş, I. H., ve Sharaf, A. M. (2008). A novel maximum power fuzzy logic controller for photovoltaic solar energy systems. Renewable Energy, 33(3), 388–399.
• Bianchi, N., Bolognani, S., ve Luise, F., (2006). High speed drive using a slotless PM motor. IEEE Tran. On Pow. Elec., 21(4), 1083-1090.
• Damiano, A., Gatto, G., Pisano, A., ve Usai, E., (1999). Digital second order sliding mode control of PMDC motor. IEEE International Symposium on Industrial Electronics (ISIE’99), Slovenia, 1, 322-329.
• Eminoğlu, İ., ve Altaş, İ. H., (1998). The effects of the number of rules on the output of a fuzzy logic controller employed to a PM d.c. motors. Computers and Electrical Engineering, 24(1998), 245-261.
• Masoum, M. A. S., Dehbonei, H., ve Fuchs, E. F., (2002). Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power-point tracking. IEEE Transactions on Energy Conversion, 17(4), 514–522.
• Mengi, O. Ö. (2018). A Five-Level H-Bridge STATCOM for an Off-Grid PV Solar Farm under Two Controllers PI and PIλ -MPC Hybrid. International Journal of Photoenergy, 2018, 1-14.
• Okonkwo, R. C., (2006). Design and performance of permanent magnet DC linear motors. IEEE Trans. On Magn., 42(9), 2179-2183.
• Saab, S. S., ve Kaed-Bey, R. A., (2001). Parameter Identification of a DC Motor: An Experimental Approach. IEEE International Conf. on Elec. Circuit and Systems. (ICECS ’01), 4, 981-984.
• Shahgholian, G., ve Shafaghi, P., (2010). State Space Modeling and Eigenvalue Analysis of the Permanent Magnet DC Motor Drive System. 2nd International Conference on Electronic Computer Technology, 7-10 May 2010, Kuala Lumpur, Malaysia, 63-67.
• Yildiz, A. B., (2012). Electrical equivalent circuit based modeling and analysis of direct current motors. Electrical Power and Energy Systems, 4, 1043-1047.
• Zenk, H., (2016). A Comparative Application of Performance of the SEPIC Converter Using PI, PID and Fuzzy Logic Controllers for PMDC Motor Speed Analysis. Journal of Multidisciplinary Engineering Science Studies (JMESS), 2(12), 1226-1231.
• Zenk, H., Akpinar, A., S., (2014). Dynamic Performance Comparison of Cúk Converter with DC Motor Driving and Using PI, PID, Fuzzy Logic Types Controllers. Universal Journal of Electrical and Electronic Engineering, 2 , 90 - 96. doi: 10.13189/ujeee.2014.020206.