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Commutation Compensation Strategy for Brushless DC Motor Based on Terminal Voltage Reconstruction

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Abstract

In the sensorless brushless DC (BLDC) motor control system, the commutation signal is the key to measure the system performance. To improve the commutation accuracy, a commutation compensation strategy based on terminal voltage reconstruction is proposed. By analyzing the commutation process, the integral of ideal terminal voltage is adopted to determine the commutation error. Then considering the voltage clamping of the freewheel diode, the actual terminal voltage is analyzed in different periods. In the non-commutation period, a PWM cycle is divided into three regions, and the corresponding duration can be calculated by floating phase current, and then the equality of actual and ideal terminal voltage integrals is revealed. In the commutation period, the instantaneous value of back-electromotive force (back-EMF) at commutation point is used to construct the ideal terminal voltage and the commutation time is determined by the edge detection. In this way, the integral of terminal voltage can be calculated precisely. Then the error index is introduced and the relationship between the commutation error and the error index is presented. To eliminate the commutation error, the PI controller is adopted which outputs the compensation angle. The proposed strategy avoids the phase shift errors and the accumulation of integral errors, moreover the feasibility and effectiveness are verified by simulations and experiments under different conditions. In addition, the strategy can also be used to correct the installation error of Hall sensor.

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References

  1. Naseri F, Farjah E, Ghanbari T (2017) "An efficient regenerative braking system based on battery/supercapacitor for electric, hybrid, and plug-in hybrid electric vehicles with BLDC motor. IEEE Trans Vehic Technol 66(5):3724–3738

    Google Scholar 

  2. Park JS, Choi J-H, Lee J (2016) Compensation method of position signal error with misaligned hall-effect sensors of BLDC motor. J Elect Eng Technol 11(4):889–897

    Article  Google Scholar 

  3. Lu S, Wang X (2018) A new methodology to estimate the rotating phase of a BLDC motor with its application in variable-speed bearing fault diagnosis. IEEE Trans Power Elect 33(4):3399–3410

    Article  MathSciNet  Google Scholar 

  4. Carlos Gamazo Real J, Jaime Gomez G (2015) Sensorless detection of position and speed in brushless DC motors using the derivative of terminal phase voltages technique with a simple and versatile motor driver implementation. J Elect Eng Technol 10(4):1540–1551

    Article  Google Scholar 

  5. Kim I-G, Hong H-S, Go S-C, Oh Y-J, Joo K-J, Lee J (2017) A study on the stable sensorless control of BLDC motor inside auxiliary air compressor. J Elect Eng Technol 12(1):466–471

    Article  Google Scholar 

  6. Zhou X, Chen X, Peng C, Zhou Y (2018) High performance nonsalient sensorless BLDC motor control strategy from standstill to high speed. IEEE Trans Ind Inform 14(10):4365–4375

    Article  Google Scholar 

  7. Cui C, Liu G, Wang K, Song X (2015) Sensorless drive for high-speed brushless DC motor based on the virtual neutral voltage. IEEE Trans Power Elect 30(6):3275–3285

    Article  Google Scholar 

  8. Lai Y, Lin Y (2011) A unified approach to zero-crossing point detection of back EMF for brushless DC motor drives without current and hall sensors. IEEE Trans Power Elect 26(6):1704–1713

    Article  Google Scholar 

  9. Lai Y, Lin Y (2008) Novel back-EMF detection technique of brushless DC motor drives for wide range control without using current and position sensors. IEEE Trans Power Elect 23(2):934–940

    Article  Google Scholar 

  10. Shao J (2006) An improved microcontroller-based sensorless brushless DC (BLDC) motor drive for automotive applications. IEEE Trans Ind Appl 42(5):1216–1221

    Article  Google Scholar 

  11. Chen S, Zhou X, Bai G, Wang K, Zhu L (2018) Adaptive commutation error compensation strategy based on a flux linkage function for sensorless brushless DC motor drives in a wide speed range. IEEE Trans Power Elect 33(5):3752–3764

    Article  Google Scholar 

  12. Chen W, Liu Z, Cao Y, Li X, Shi T, Xia C (2019) A position sensorless control strategy for the BLDCM based on a flux-linkage function. IEEE Trans Ind Elect 66(4):2570–2579

    Article  Google Scholar 

  13. Bernardes T, Montagner VF, Gründling HA, Pinheiro H (2014) Discrete-time sliding mode observer for sensorless vector control of permanent magnet synchronous machine. IEEE Trans Ind Elect 61(4):1679–1691

    Article  Google Scholar 

  14. Ali N, Rehman AU, Alam W (2019) Disturbance observer based robust sliding mode control of permanent magnet synchronous motor. J Elect Eng Technol 14(6):2531–2538

    Article  Google Scholar 

  15. El-samahy AA, Shamseldin MA (2018) Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control. Ain Shams Eng J 9(3):341–352

    Article  Google Scholar 

  16. Potnuru D, Bharani Chandra KP, Arasaratnam I, Gu D, Alice Mary K, Ch SB (2016) Derivative-free square-root cubature Kalman filter for non-linear brushless DC motors. IET Elect Power Appl 10(5): 419–429

  17. Rubaai A, Young P (2016) Hardware/software implementation of fuzzy-neural-network self-learning control methods for brushless DC motor drives. IEEE Trans Ind Appl 52(1):414–424

    Article  Google Scholar 

  18. John Prabu M, Poongodi P, Premkumar K (2016) Fuzzy supervised online coactive neuro-fuzzy inference system-based rotor position control of brushless DC motor. IET Power Elect 9(11): 2229–2239

  19. Hamida MA, De Leon J, Glumineau A, Boisliveau R (2013) An adaptive interconnected observer for sensorless control of PM synchronous motors with online parameter identification. IEEE Trans Ind Elect 60(2):739–748

    Article  Google Scholar 

  20. Li T, Zhou J (2019) High-stability position-sensorless control method for brushless DC motors at low speed. IEEE Trans Power Elect 34(5):4895–4903

    Article  Google Scholar 

  21. Tan B, Wang X, Zhao D, Shen K, Zhao J, Ding X (2019) A lag angle compensation strategy of phase current for high-speed BLDC motors. IEEE Access 7:9566–9574

    Article  Google Scholar 

  22. Liu G, Cui C, Wang K, Han B, Zheng S (2016) Sensorless control for high-speed brushless DC motor based on the line-to-line back EMF. IEEE Trans Power Elect 31(7):4669–4683

    Article  Google Scholar 

  23. Tsotoulidis S, Safacas AN (2015) Deployment of an adaptable sensorless commutation technique on BLDC motor drives exploiting zero sequence voltage. IEEE Trans Ind Elect 62(2):877–886

    Article  Google Scholar 

  24. Song X, Han B, Zheng S, Fang J (2018) High-precision sensorless drive for high-speed BLDC motors based on the virtual third harmonic back-EMF. IEEE Trans Power Elect 33(2):1528–1540

    Article  Google Scholar 

  25. Chen C, Cheng M (2007) A new cost effective sensorless commutation method for brushless DC motors without phase shift circuit and neutral voltage. IEEE Trans Power Elect 22(2):644–653

    Article  Google Scholar 

  26. Lee A, Wang S, Fan C (2016) A current index approach to compensate commutation phase error for sensorless brushless DC motors with nonideal back EMF. IEEE Trans Power Elect 31(6):4389–4399

    Article  Google Scholar 

  27. Chen S, Sun W, Wang K, Liu G, Zhu L (2018) Sensorless high-precision position correction strategy for a 100 kW@20000 r/min BLDC motor with low stator inductance. IEEE Trans Ind Inform 14(10):4288–4299

    Article  Google Scholar 

  28. Chun T, Tran Q, Lee H, Kim H (2014) Sensorless control of BLDC motor drive for an automotive fuel pump using a hysteresis comparator. IEEE Trans Power Elect 29(3):1382–1391

    Article  Google Scholar 

  29. Park J, Lee D (2020) Simple commutation torque ripple reduction using PWM with compensation voltage. IEEE Trans Ind Appl 56(3):2654–2662

    Article  Google Scholar 

  30. Yang L, Zhu ZQ, Shuang B, Bin H (2020) Adaptive threshold correction strategy for sensorless high-speed brushless DC drives considering zero-crossing-point deviation. IEEE Trans Ind Elect 67(7):5246–5257

    Article  Google Scholar 

  31. Chen S, Liu G, Zhu L (2017) Sensorless control strategy of a 315 kW high-speed BLDC motor based on a speed-independent flux linkage function. IEEE Trans Ind Elect 64(11):8607–8617

    Article  Google Scholar 

  32. Li H, Zheng S, Ren H (2017) Self-correction of commutation point for high-speed sensorless BLDC motor with low inductance and nonideal back EMF. IEEE Trans Power Elect 32(1):642–651

    Article  Google Scholar 

  33. Li W, Fang J, Li H, Tang J (2016) Position sensorless control without phase shifter for high-speed BLDC motors with low inductance and nonideal back EMF. IEEE Trans Power Elect 31(2):1354–1366

    Article  Google Scholar 

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Acknowledgments

This research was supported by the Open Project Program of Tianjin Key Laboratory of Microgravity and Hypogravity Environment Simulation Technology (Grant no. TJWDZL2019KT009).

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Correspondence to Bin Li.

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Li, G., Zhang, T., Li, B. et al. Commutation Compensation Strategy for Brushless DC Motor Based on Terminal Voltage Reconstruction. J. Electr. Eng. Technol. 16, 2031–2043 (2021). https://doi.org/10.1007/s42835-021-00717-5

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  • DOI: https://doi.org/10.1007/s42835-021-00717-5

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