Comparative Modelling and Experimental Verification of a PMSM Drive System

Öz

This paper presents a comparative study on two simulation and an experimental models for a Permanent Magnet Synchronous Motor (PMSM) drive system. A realistic modelling and simulation of a PMSM drive system is very useful before developing an experimental study. In particular, analyzing the performance of the motor drive and control algorithm in a simulation environment provides many advantages. The motor and drive system can be tested by using a simulation environment with various realistic scenarios in order to reduce testing costs and time span. Therefore, a comparative simulation study was performed in this study to show the simulation results similarity with real application results. Three PMSM drive systems were modelled by using MATLAB environment based on SimPowerSystems, Simscape Electrical, and based C-language. All models and experimental system were operated under the same conditions. These models were compared with each other and verified with an experimental system. The waveforms were analyzed comparatively such as current, speed, mechanical position of the motor.

Anahtar Kelimeler

• Permanent magnet synchronous motor
• Modelling
• Simulation
• Experimental verification

Kaynakça

1. Referans1 Pragasen Pillay and Ramu Krishnan. Modeling, Simulation, and Analysis of Permanent-Magnet Motor Drives,Part I: The Permanent Magnet Synchronous Motor Drive. IEEE Transactions on Industry Applications, 25(2):265–273, 1989.
2. Referans2 O. Aydogmus and S. Sünter. Implementation of ekf based sensorless drive system using vector controlled pmsm fed by a matrix con verter. International Journal of Electrical Power & Energy Systems, 43(1):736–743, 2012.
3. Referans3 Ajay Kumar, Sanjay Marwaha, Amarpal Singh, and Anupama Marwaha. Performance investigation of a permanent magnet generator. Simulation Modelling Practice and Theory, 17(10):1548–1554, nov 2009.
4. Referans4 Wei Wang, Yanan Feng, Yan Shi, Ming Cheng, Wei Hua, and ZhengWang. Direct Thrust Force Control of Primary Permanent-Magnet Linear Motors with Single DC-Link Current Sensor for Subway Applications. IEEE Transactions on Power Electronics, 35(2):1365– 1376, feb 2020.
5. Referans5 Ming Cheng, Wei Hua, Jianzhong Zhang, and Wenxiang Zhao. Overview of stator-permanent magnet brushless machines, nov 2011.
6. Referans6 Gang Huang, Edwardo F. Fukushima, Jinhua She, Changfan Zhang, and Jing He. Estimation of sensor faults and unknown disturbance in current measurement circuits for pmsm drive system. Measurement, 137:580–587, 2019.
7. Referans7 Wei Wang, Zhixiang Lu, Wei Hua, Zheng Wang, and Ming Cheng. A Hybrid Dual-Mode Control for Permanent-Magnet Synchronous Motor Drives. IEEE Access, 8:105864–105873, 2020.
8. Referans8 Wenming Tong, Shanhong Dai, Shengnan Wu, and Renyuan Tang. Performance comparison between an amorphous metal pmsm and a silicon steel pmsm. IEEE Transactions on Magnetics, 55(6), jun 2019.

9. Referans9 Xin Yuan, Shuo Zhang, and Chengning Zhang. Enhanced robust deadbeat predictive current control for PMSM drives. IEEE Access, 7:148218–148230, 2019.
10. Referans10 Faten Grouz, Lassaâd Sbita, Mohamed Boussak, and Amor Khlaief. FDI based on an adaptive observer for current and speed sensors of PMSM drives. Simulation Modelling Practice and Theory, 35:34–49, jun 2013.
11. Referans11 Dong Woo Seo, Yeongsu Bak, Sungjoon Cho, Kyuchul Bae, and Kyo Beum Lee. An improved flying restart method of sensorless PMSM drive systems fed by an ANPC inverter using repetitive zero voltage vectors. In Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC, volume 2019-March, pages 3309–3314. Institute of Electrical and Electronics Engineers Inc., may 2019.
12. Referans12 Shigeo Morimoto, Yi Tong, and Takao Hirasa. Loss Minimization Control of Permanent Magnet Synchronous Motor Drives. IEEE Transactions on Industrial Electronics, 41(5):511–517, 1994.
13. Referans13 Thomas M. Jahns, Gerald B. Kliman, and Thomas W. Neumann. Interior Permanent-Magnet Synchronous Motors for Adjustable-Speed Drives. IEEE Transactions on Industry Applications, IA-22(4):738– 47, 1986.
14. Referans14 Zhiqian Chen, Mutuwo Tomita, Shinji Doki, and Shigeru Okuma. An extended electromotive force model for sensorless control of interior permanent-magnet synchronous motors. IEEE Transactions on Industrial Electronics, 50(2):288–295, apr 2003.
15. Referans15 Shigeo Morimoto, Yoji Takeda, and Takao Hirasa. Current Phase Control Methods for Permanent Magnet Synchronous Motors. IEEE Transactions on Power Electronics, 5(2):133–139, 1990.
16. Referans16 Xing Chen, Jibin Hu, Kai Chen, and Zengxiong Peng. Modeling of electromagnetic torque considering saturation and magnetic field harmonics in permanent magnet synchronous motor for HEV. Simulation Modelling Practice and Theory, 66:212–225, aug 2016.
17. Referans17 Wenxin Liu, Li Liu, Il Yop Chung, David A. Cartes, and Wei Zhang. Modeling and detecting the stator winding fault of permanent magnet synchronous motors. Simulation Modelling Practice and Theory, 27:1–16, sep 2012.
18. Referans18 Suman Maiti, Chandan Chakraborty, and Sabyasachi Sengupta. Simulation studies on model reference adaptive controller based speed estimation technique for the vector controlled permanent magnet synchronous motor drive. Simulation Modelling Practice and Theory, 17(4):585–596, apr 2009.
19. Referans19 Gullu Boztas and Omur Aydogmus. Comparison of Permanent-Magnet Assisted Synchronous Reluctance Motors with Different Rotor Structures. In ELECO 2019 - 11th International Conference on Electrical and Electronics Engineering, pages 166–171. Institute of Electrical and Electronics Engineers Inc., nov 2019.
20. Referans20 F. Dalvand, M. Mardaneh, and J. Milimonfared. Development of genetic-pi based controller for interior permanent magnet synchronous motor drive over wide speed range. In 2006 3rd IET International Conference on Power Electronics, Machines and Drives - PEMD 2006, pages 291–295, 2006.
21. Referans21 Thomas M. Jahns. Flux-weakening regime operation of an interior permanent-magnet synchronous motor drive. IEEE Transactions on Industry Applications, IA-23(4):681–689, 1987.
22. Referans22 Masataka Miyamasu and Kan Akatsu. An approach to generate high reluctance torque in an inset-type PMSM by square current excitation. In PECon 2012 - 2012 IEEE International Conference on Power and Energy, pages 440–445, 2012.
23. Referans23 Tarek Ameid, Arezki Menacer, Hicham Talhaoui, and Imadeddine Harzelli. Rotor resistance estimation using extended kalman filter and spectral analysis for rotor bar fault diagnosis of sensorless vector control induction motor. Measurement, 111:243–259, 2017.
24. Referans24 Ahmet Gundogdu, Resat Celikel, Besir Dandil, and Fikret Ata. Fpga in-the-loop implementation of direct torque control for induction motor. Automatika, 62(2):275–283, 2021.
25. Referans25 A. Ghamri, R. Boumaaraf, M.T. Benchouia, H. Mesloub, A. Goléa, and N. Goléa. Comparative study of ann dtc and conventional dtc controlled pmsm motor. Mathematics and Computers in Simulation, 167:219–230, 2020. INTERNATIONAL CONFERENCE on Emerging and Renewable Energy: Generation and Automation, held in Belfort, France on 4-6 July, 2017.
26. Referans26 H. Mesloub, R. Boumaaraf, M.T. Benchouia, A. Goléa, N. Goléa, and K. Srairi. Comparative study of conventional dtc and dtc svm based control of pmsm motor — simulation and experimental results. Mathematics and Computers in Simulation, 167:296–307, 2020. INTERNATIONAL CONFERENCE on Emerging and Renewable Energy: Generation and Automation, held in Belfort, France on 4-6 July, 2017.
27. Referans27 Jian Zhang, Abdelmounaim Tounzi, Abdelkader Benabou, and Yvonnick Le Menach. Detection of magnetization loss in a pmsm with hilbert huang transform applied to non-invasive search coil voltage. Mathematics and Computers in Simulation, 184:184–195, 2021. ELECTRIMACS 2019 ENGINEERING - Modelling and computational simulation for analysis and optimisation in electrical power engineering.
28. Referans28 Kayhan Gulez, Ali Ahmed Adam, I. E. Buzcu, and Halit Pastaci. Using passive filters to minimize torque pulsations and noises in surface PMSM derived field oriented control. Simulation Modelling Practice and Theory, 15(8):989–1001, sep 2007.
29. Referans29 Mohd Marufuzzaman, M. B.I. Reaz, and M. A.Mohd Ali. FPGA implementation of an intelligent current dq PI controller for FOC PMSM drive. In ICCAIE 2010 - 2010 International Conference on Computer Applications and Industrial Electronics, pages 602–605, 2010.
30. Referans30 Wei Wang, Yanan Feng, Yan Shi, Ming Cheng, Wei Hua, and Zheng Wang. Fault-Tolerant Control of Primary Permanent-Magnet Linear Motors with Single Phase Current Sensor for Subway Applications. IEEE Transactions on Power Electronics, 34(11):10546–10556, nov 2019.
31. Referans31 Sagar Gajanan Petkar and Thippiripati Vinay Kumar. Computationally efficient model predictive control of three-level open-end winding permanent-magnet synchronous motor drive. IET Electric Power Applications, 14(7):1210–1220, jul 2020.
32. Referans32 Xudong Liu, Haisheng Yu, Jinpeng Yu, and Lin Zhao. Combined Speed and Current Terminal Sliding Mode Control with Nonlinear Disturbance Observer for PMSM Drive. IEEE Access, 6:29594–29601, may 2018.
33. Referans33 Oskar Wallmark. Control of a Permanent Magnet Synchronous Motor with Non-Sinusoidal Flux Density Distribution. PhD thesis, CHALMERS UNIVERSITY OF TECHNOLOGY, G¨oteborg, Sweden, 2001.Young, “Synthetic structure of industrial plastics,” in Plastics, 2nd ed., vol. 3, J. Peters, Ed. New York, NY, USA: McGraw-Hill, 1964, pp. 15–64.