Improving the Performance of Permanent Magnet Synchronous Motor by Using Direct Current Control Method Based On Predictive Controller with Continuous Control Set

Subject Areas : Application of soft computing in engineering sciences

Hamid Rahimi Esfahani ¹ , Reza Sharifian Dastjerdi ^{2 *}

1 - Department of Electrical Engineering, Lenjan Branch, Islamic Azad University, Isfahan, Iran
2 - Department of Electrical Engineering, Lenjan Branch, Islamic Azad University, Isfahan, Iran

Received: 2024-10-15 Accepted : 2024-11-15 Published : 2024-12-19

Keywords: Direct current control, predictive¬ controller, permanent magnet synchronous motor drives, total harmonic distortion fault,

Abstract :

In this paper, direct current control method is proposed to improve the performance of permanent magnet synchronous motor in steady and transient states. In this method, direct flow control based on predictive controller with continuous control set is provided. Thus, In steady state, an active voltage vector along with a zero-voltage vector is applied to the motor in each control cycle. The values ​​of the phase, amplitude and duty factor of the active voltage vector are optimized in such a way that the stator current error is minimized. In the transient mode, to improve the dynamic response of the torque, a voltage vector with maximum amplitude is applied to the motor in the entire control cycle, and the angle of the voltage vector is calculated in such a way that the stator current error is reduced to zero at the end of the control cycle. Spatial vector modulation is used to generate the selected voltage vector. The performance of the method has been evaluated in MATLAB software; The obtained results show that the proposed method of harmonic distortion of the total stator current in the steady state reduces and improves the dynamic response of the motor in the transient state. In addition, the performance of the two presented methods has been compared with a number of recent control methods, and the results show that by using the proposed methods, the performance of the steady and transient state is improved.

References:


D. Casadei, F. Profumo, G. Serra, and A. Tani, “FOC and DTC: Two variable schemes for induction motors torque control,” IEEE Trans. Power Electron., vol. 17, no. 5, pp. 779–787, Sep. 2002. S. A. Zaid, O. A. Mahgoub, and K. A. El-Metwally, “Implementation of a new fast direct torque control algorithm for induction motor drives,” IET Elec. Power Appl., vol. 4, no. 5, pp. 305-313, Mar.
2009. M. Paicu, I. Boldea, G. Andreescu, and F. Blaabjerg, “Very low speed performance of active flux based sensorless control: interior permanent magnet synchronous motor vector control versus
direct torque and flux control,” IET Power Electron., vol. 3, no. 6, pp. 551-561, Nov. 2009. B. Singh, S. Jain, and S. Dwivedi, “Torque ripple reduction technique with improved flux response for a direct torque control induction motor drive,” IET Power Electron., vol. 6, no. 2, pp. 326-342, Jun. 2013.
Y. Inoue, S. Morimoto, and M. Sanada, “A novel control scheme for maximum power operation of synchronous reluctance motors including maximum torque per flux control,” IEEE Trans. Ind.
Appl., vol. 47, no. 1, pp. 115-121, Jan. 2011.
G. Heins, M. Thiele, and T. Brown, “Accurate torque ripple measurement for PMSM” IEEE Trans. Instrum. Meas., vol. 60, no. 12, pp. 3868-3874, Nov. 2011. H. Zhu, X. Xiao and Y. Li, “Torque ripple reduction of the torque predictive control scheme for permanent-magnet synchronous motors,” IEEE Trans. Ind. Electron., vol. 59, no. 2, pp. 871-877,
Oct. 2012. R. Morales-Caporal, and M. Pacas, “Encoderless predictive direct torque control for synchronous reluctance machines at very low and zero speed,” IEEE Trans. Ind. Electron., vol. 55, no. 12, pp.
4408-4416, Dec. 2008.
T. Geyer, and S. Mastellone, “Model predictive direct torque control of a five-level ANPC converter drive system,” IEEE Trans. Ind. Appl., vol. 48, no. 5, pp. 1565-1575, Oct. 2012.
T. Burtscher, and T. Geyer, “Deadlock avoidance in model predictive direct torque control,” IEEE Trans. Ind. Appl., vol. 49, no. 5, pp. 2126-2135, Sep. 2013. W. Song, J. Ma, L. Zhou, and X. Feng, “Deadbeat predictive power control of single-phase three-level neutral-point-clamped converters using space-vector modulation for electrical railway
traction” IEEE Trans. Power Electron., vol. 31, no. 1, pp. 721-732, Sep. 2015.
Y. Wang, T. Ito, and R. D. Lorenz, “Loss manipulation capabilities of deadbeat direct torque and flux control induction machine drives,” IEEE Trans. Ind. Appl., Accepted for publication in 2015. R. Sh. Dastjerdi, M. A. Abasian, and etc., “Performance Improvement of Permanent-Magnet Synchronous Motor Using a New Deadbeat-Direct Current Controller,” IEEE Trans. Ind. Appl., vol. 50, no. 3, pp. 3530-3543, May. 2018.

S. E. Dreyfus, “Some types of optimal control of stochastic systems,” SIAM J. Control Opt., vol. 2, no. 1, pp. 120–134, Jan. 1964. G. Abad, M. A. Rodriguez, and J. Poza, “Two-level VSC based predictive direct torque control of the doubly fed induction machine with reduced torque and flux ripples at low constant switching
frequency,” IEEE Trans. Power Electron., vol. 23, no. 3, pp. 1050–1061, May 2008. F. Niu, K. Li, and Y. Wang, “Direct torque control for permanent magnet synchronous machines based on duty ratio modulation,” IEEE Trans. Ind. Electron., vol. 62, no. 10. pp. 6160-6170, Oct. 2015.
K. K. Shyu, J. K. Lin, V. T. Pham, M. J. Yang, and T.-W. Wang, “Global minimum torque ripple design for direct torque control of induction motor drives,” IEEE Trans. Ind. Electron., vol. 57, no. 9, pp. 3148–3156, Sep.2010.

R. P. Aguilera and D. E. Quevedo, "Predictive control of power converters: Designs with guaranteed performance" IEEE Trans. Ind. Inf., vol. 11, no. 1, pp. 53-63, Feb. 2015. C. M. Hackl, "MPC with analytical solution and integral error feedback for LTI MIMO systems d its application to current control of grid-connected power converters with LCL-filter" in IEEE
Int. Symp. Predict. Contr. of Electr. Drives and Power Ele. (PRECEDE), pp. 61-66, Chile, Oct. 2015. Y. Zhang, D. Xu, J. Liu, S. Gao, and W. Xu, "Performance improvement of model predictive current control of permanent magnet synchronous motor drives", IEEE Trans. Ind. Appl., to be published.

J. Scoltock,, et al., “A Comparison of Model Predictive Control Schemes for MV Induction Motor Drives,” IEEE Trans. Ind. Informatics, vol. 9, no. 2, pp. 3537-3547, May 2013. M. H. Vafaie, B. Mirzaeian Dehkordi, P. Moallem, and A. Kiyoumarsi, “Improving the steady-state and transient performances of PMSM through an advanced deadbeat torque and flux control system”, IEEE Trans. Power Electron., vol. 32, no. 4, pp. 2964 – 2975, Apr. 2017.

Y. Wang, et al., “Deadbeat model predictive torque control with discrete space vector modulation for PMSM drives,” IEEE Trans. Ind. Electron., vol. 64, no. 5, pp. 909-919, May 2017. C. Zhou, H. Li, L. Yang, R. Liu and B. Chen, "Low Complexity Zero-Suboptimal Model Predictive Torque Control for SPMSM Drives Based on Discrete Space Vector Modulation," in IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 12, no. 4, pp. 4204-4215, Aug. 2024.
W. Zhang et al., "An Improved Model Predictive Torque Control for PMSM Drives Based on Discrete Space Vector Modulation," in IEEE Transactions on Power Electronics, vol. 38, no. 6, pp. 7535-7545, June 2023.
M. Gu et al., "Finite Control Set Model Predictive Torque Control With Reduced Computation Burden for PMSM Based on Discrete Space Vector Modulation," in IEEE Transactions on Energy Conversion, vol. 38, no. 1, pp. 703-712, March 2023.
M. H. Vafaie, B. M. Dehkordi, P. Moallem, and A. Kiyoumarsi, “A new predictive direct torque control method for improving both steady-state and transient-state operations of the PMSM,” IEEE Trans. Power Electron., vol. 31, no. 5, pp. 3738-3753, May. 2016.