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Adaptive Control to Load Disturbance for Brushless DC Motor Operates at Low Speed

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Advances in Engineering Research and Application (ICERA 2018)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 63))

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Abstract

Recently, control methods of Brushless DC (BLDC) motor have been intensively studied. The common control methods use two control loops with the inner loop is the current (or torque) control and the outer loop is the speed control. Conventional BLDC motors use Hall sensor mounted on the stator to detect the position of the pole in order to determine the voltage vector applied to the inverter. The use of Hall sensor to measure speed is only suitable when the motor operates at high speed because of the small resolution of Hall sensor. This means that the control quality is low when the motor operates at low speed, especially under the disturbance of torque load. This paper proposes an adaptive control method basing on speed and disturbance estimations. This control method is suitable with the motors use only Hall sensor to measure speed and with the motion control. Simulation results prove the correctness and the coincidence of the proposed method.

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References

  1. Feyzi, M.R., Ebadpour, M., Niapour, S.K.M., Feizi, A., Aghdam, R.M.: A new single current strategy for high-performance brushless DC motor drives. In: 24th Canadian Conference on Electrical and Computer Engineering (CCECE), Niagara Falls, ON, Canada (2011)

    Google Scholar 

  2. Azam, A.F.N., Jidin, A., Said, M.A., Jopri, H., Manap, M.: High performance torque control of BLDC motor. In: International Conference on Electrical Machines and Systems, Busan, Korea, 26–29 October 2013

    Google Scholar 

  3. Rao, A.P.C., Obulesh, Y.P., Sai Babu, Ch.: ARPN J. Eng. Appl. Sci. 7(10), 1312–1328 (2012)

    Google Scholar 

  4. Melkote, H., Khorrami, F.: Nonlinear adaptive control of direct-drive brushless DC motors and applications to robotic manipulators. IEEE/ASME Trans. Mechatron. 4(1), 71–81 (1999)

    Article  Google Scholar 

  5. El-samahy, A.A., Shamseldin, M.A.: Brushless DC motor tracking control using self-tuning fuzzy PID control and model reference adaptive control. Ain Shams Eng. J. 9(3), 341–352 (2016)

    Article  Google Scholar 

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Correspondence to Nguyen Hong Quang .

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Quang, N.H., Tuan, D.Q., Hien, N.N., Anh, T.N. (2019). Adaptive Control to Load Disturbance for Brushless DC Motor Operates at Low Speed. In: Fujita, H., Nguyen, D., Vu, N., Banh, T., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2018. Lecture Notes in Networks and Systems, vol 63. Springer, Cham. https://doi.org/10.1007/978-3-030-04792-4_19

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  • DOI: https://doi.org/10.1007/978-3-030-04792-4_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04791-7

  • Online ISBN: 978-3-030-04792-4

  • eBook Packages: EngineeringEngineering (R0)

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