Simulation of PMSM Operating at Different Speeds and Optimization of PI Controller Parameters

Year 2020, Volume: 4 Issue: 1, 86 - 105, 13.03.2020

Fatih Alpaslan Kazan , Osman Bilgin

https://doi.org/10.31200/makuubd.673400

Cited By: 1

Abstract

This
study aims to contribute to design and development studies by investigating
current, speed and torque responses of permanent magnet synchronous motor
(PMSM) with different loads and powers without any experimental study. For this
reason, firstly, PMSM was simulated using Matlab/Simulink package program. The
simulation results were then tested using a 0.25 kW PMSM coded MCS06C41, a
motor driver coded EVS9322-ESV004, and the Global Drive Control interface
program produced by Lenze. In addition, the model was tested on another PMSM
(1.1 kW) to determine the validity of the model. Since the driver used during the
experiment was designed according to field-oriented vector control, the
field-oriented vector control was also preferred in the simulation. The PI
controller parameters in driver simulation were optimized by using the Signal
Constraint Block in Simulink Response Optimization toolbox of Matlab. 

Keywords

PMSM, Field-Oriented Vector Control, Simulation, PI Parameters, Optimization

Farklı Hızlarda Çalışan PMSM'nin Simülasyonu ve PI Denetleyici Parametrelerinin Optimizasyonu

Abstract

Bu
çalışma, farklı yüklere ve güçlere sahip kalıcı mıknatıslı senkron motorun
(PMSM) herhangi bir deneysel çalışma yapmadan akım, hız ve tork tepkilerini
araştırarak tasarım ve geliştirme çalışmalarına katkıda bulunmayı
amaçlamaktadır. Bu nedenle, öncelikle PMSM’nin Matlab/Simulink paket programı
kullanılarak simülasyonu yapılmıştır. Ardından simülasyon sonuçları 0.25 kW'lık
MCS06C41 kodlu bir PMSM, EVS9322-ESV004 kodlu motor sürücüsü ve Lenze
tarafından üretilen Global Drive Control isimli arayüz programı kullanılarak
test edilmiştir. Ayrıca, model başka bir PMSM (1.1 kW) üzerinde test edilerek
modelin geçerliliği incelenmiştir.  Deney
sırasında kullanılan sürücü alan yönlendirmeli vektör kontrolüne göre
tasarlandığından, simülasyonda da alan yönlendirmeli vektör kontrolü tercih
edilmiştir. Sürücü simülasyonundaki PI denetleyici parametreleri, Matlab’ın
Simulink Response Optimization araç kutusundaki Signal Constraint Block
kullanılarak optimize edilmiştir. 

Keywords

PMSM, Alan Yönlendirmeli Vektör Kontrol, Simülasyon, PI Parametreleri, Optimizasyon

References

• Bilgin, O., & Kazan, F. A. (2016). The effect of magnet temperature on speed, current and torque in PMSMs. Paper presented at the 2016 XXII International Conference on Electrical Machines (ICEM).
• Chin, Y., & Soulard, J. (2003). A permanent magnet synchronous motor for traction applications of electric vehicles. Paper presented at the IEEE International Electric Machines and Drives Conference, 2003. IEMDC'03.
• Cui, B., Han, Z., Li, J., & Mu, J. (2019, 13-15 June). Research on PMSM Speed Control System Based on Improved Reaching Law. Paper presented at the 3rd International Conference on Circuits, System and Simulation (ICCSS), Nanjing, China.
• üngör, B., Özgenel, M. C., & Demirbaş, Ş. (2007). Performance Analysis of Vector Controlled Permanent Magnet Synchronous Motor with Space Vector Pulse Width Modulation. Journal of Polytechnic, 10 (1 ), 7-13.
• Itoh, J.-I., Nomura, N., & Ohsawa, H. (2002). A comparison between V/f control and position-sensorless vector control for the permanent magnet synchronous motor. Paper presented at the Proceedings of the Power Conversion Conference-Osaka 2002 (Cat. No. 02TH8579).
• Juming, S., Ming, Z., & Yanmin, S. (2003). Study of optimal efficient control of permanent magnet synchronous motor. Paper presented at the Sixth International Conference on Electrical Machines and Systems, 2003. ICEMS 2003.
• Kazan, F. A. (2009). Control of Permanent Magnet Synchronous Motor. (Master's thesis). Selcuk University, Konya.
• Krause, P. C., Wasynczuk, O., & Sudhoff, S. D. (1986). Analysis of electric machinery (Vol. 564): McGraw-Hill New York.
• Lu, Y., Xie, W., Qu, L., & Zhang, Y. (2011). Dynamic Simulation of Permanent Magnet Synchronous Motor Fed by Voltage Source Inverter. Paper presented at the 2011 International Conference of Information Technology, Computer Engineering and Management Sciences.
• Modran, L. (2008). Digital simulation of induction and permanent magnet synchronous motor starting. Paper presented at the 2008 11th International Conference on Optimization of Electrical and Electronic Equipment.
• Muni, B., Pillai, S., & Saxena, S. (1996). Digital simulation of internal power factor angle controlled surface mounted permanent magnet synchronous motor. Paper presented at the Proceedings of International Conference on Power Electronics, Drives and Energy Systems for Industrial Growth.
• Pillay, P., & Krishnan, R. (1988). Modeling of permanent magnet motor drives. IEEE Transactions on Industrial Electronics, 35(4), 537-541.
• Pillay, P., & Krishnan, R. (1989). Modeling, simulation, and analysis of permanent-magnet motor drives. I. The permanent-magnet synchronous motor drive. IEEE Transactions on Industry Applications, 25(2), 265-273.
• Pillay, P., & Krishnan, R. (1991). Application characteristics of permanent magnet synchronous and brushless DC motors for servo drives. IEEE Transactions on Industry Applications, 27(5), 986-996.
• Ping, L., & Lan, C. (2012). Study on controlling and simulation of drive system for permanent magnet synchronous motor in electrical vehicle. Paper presented at the 2012 Power Engineering and Automation Conference.
• Song, L., & Peng, J. (2009). The study of fuzzy-PI controller of Permanent Magnet Synchronous Motor. Paper presented at the 2009 IEEE 6th International Power Electronics and Motion Control Conference.
• Xia, Y., Yi, X., Wen, Z., Chen, Y., & Zhang, J. (2019). Direct Torque Control of Hybrid Excitation Permanent Magnet Synchronous Motor. Paper presented at the 2019 22nd International Conference on Electrical Machines and Systems (ICEMS).
• Xiao-Ling, Y., & Hong-Hua, W. (2009). Intelligent sensorless control of permanent magnet synchronous motor drive. Paper presented at the 2009 Second International Conference on Intelligent Computation Technology and Automation.