Decreasing the Cogging Torque using Virtual Positive Impedance Based Active Damping Control Method for PMSMs

Abstract

In this paper, active damping control based virtual positive impedance for a PMSM driver is proposed. The proposed model is assumed to achieve the better motor current with a better harmonic response. 6 switches can be employed in the design of the driver to obtain high performance with a simultaneous reduction in the motor current harmonics and thus the torque ripple of PMSM. However, the reduction of input current harmonics is very important to operate the PMSM with less cogging torque. The proposed concept offers a significant decreasing in harmonics. Thus, the effect of VPI on the cogging torque can be understood. The inverter with a Field Oriented Control (FOC) method operates in 3-phase and 20 kHz switching frequency. The PMSM motor is fed by the inverter. The VPI based active damping control for the motor drive is discussed to confirm the performance of the proposed method. The simulation results based on MATLAB are provided to validate the proposed control strategy.

Keywords

• ADC,PMSM,VPI

References

1. [1] A. Saygin, A.M. Rashid, Position control of a turret using LabVIEW, Acta Physica Polonica A (2017) 132 (3), pp. 970-973. DOI: 10.12693/APhysPolA.132.970
2. [2] S. Altuntaş, H. Hapoğlu, S. Ertunç, M. Alpbaz, Experimental Self-Tuning Proportional Integral Derivative pH Control: Application to a Bioprocess, Acta Physica Polonica A (2017) pp 1006. DOI: 10.12693/APhysPolA.132.1006
3. [3] M.K. Döşoğlu, U. Güvenç, Y. Sönmez, C. Yılmaz, Enhancement of demagnetization control for low-voltage ride-through capability in DFIG-based wind farm, Electrical Engineering, (2018) 100 (2), pp. 491-498. DOI: 10.1007/s00202-017-0522-6
4. [4] N.G. Adar, R. Kozan, Comparison between Real Time PID and 2-DOF PID Controller for 6-DOF Robot Arm, Acta Physica Polonica A (2016) pp 269. DOI:10.12693/APhysPolA.130.269
5. [5] N.G. Adar, A. Egrisogut Tiryaki, R. Kozan, Real Time Visual Servoing of a 6-DOF Robotic Arm using Fuzzy-PID Controller, Acta Physica Polonica A (2015) pp B-348. DOI: 10.12693/APhysPolA.128.B-348
6. [6] Y. Sarikaya, H. Apaydin, Ş. Kıtış, A Hydrolysis System Design and Ana-lysis for Vehicles with Microprocessor Based and PWM Controlled Card, Acta Physica Polonica A (2015) pp B-211. DOI: 10.12693/APhysPolA.128.B-211
7. [7] A. Saygin, A. Aksoz and E. N. Yilmaz, A different model of WECS connected to smart grid through matrix converter, 2016 4th International Istanbul Smart Grid Congress and Fair (ICSG), Istanbul (2016), pp. 1-5. DOI: 10.1109/SGCF.2016.7492419
8. [8] E.N. Yilmaz, A. Aksoz and A. Saygin, Electr Eng (2018).DOI: 10.1007/s00202-018-0734-4

9. [9] E. Can, H.H. Sayan, A novel SSPWM controlling inverter running nonlinear device, Electrical Engineering, (2018) 100 (1), pp. 39-46. DOI: 10.1007/s00202-016-0480-4
10. [10] E. Can, H.H. Sayan, The increasing harmonic effects of SSPWM multilevel inverter controlling load currents investigated on modulation index, Tehnicki Vjesnik, (2017) 24 (2), pp. 397-404. DOI: 10.17559/TV-20151020134629
11. [11] A. Saygin, A. Kerem, Speed control of an induction motor by 6-switched 3-level inverter, Open Physics, (2017) 15 (1), pp. 1072-1076. DOI: 10.1515/phys-2017-0138
12. [12] R. Kiliç, Determination of Imbalance Problem in Electric Motor and Centrifugal Pump by Vibration Analysis, Acta Physica Polonica A (2016) pp487. DOI:10.12693/APhysPolA.130.487
13. [13] A. Saygin and A. Aksoz, Design optimization for minimizing cogging torque in Axial Flux Permanent Magnet machines, 2017 International Conference on Optimization of Electrical and Electronic Equipment (OPTIM) Brasov (2017), pp. 324-329. DOI: 10.1109/OPTIM.2017.7974991