전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제65권4호
  • /
  • Pages.635-641
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  • 2016
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  • 1975-8359(pISSN)
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  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
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영구자석 동기모터를 위한 CTRNN모델 기반 적응형 PI 제어기 설계

Adaptive PI Controller Design Based on CTRNN for Permanent Magnet Synchronous Motors

  • Kim, Il-Hwan (Dept. of Electrical and Electronic Engineering, Kangwon National University)
  • 투고 : 2015.07.07
  • 심사 : 2016.01.27
  • 발행 : 2016.04.01
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초록

In many industrial applications that use the electric motors robust controllers are needed. The method using a neural network in order to design a robust controller when a disturbance occurs is studied. Backpropagation algorithm, which is used in a conventional neural network controller is used in many areas, but when the number of neurons in the input layer, hidden layer and output layer of the neural network increases the processing speed of the learning process is slow. In this paper an adaptive PI(Proportional and Integral) controller based on CTRNN(Continuous Time Recurrent Neural Network) for permanent magnet synchronous motors is presented. By varying the load and the speed the validity of the proposed method is verified through simulation and experiments.

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참고문헌

  1. M. H. Shin, D. S. Hyen, S. B. Cho and S. Y. Choe, "An improved stator flux estimation for speed sensorless stator flux orientation control of induction motors", IEEE PESC, pp. 1581-1586, 1998.
  2. K. Y. Nam, W. T. Lee, C. Lee, and J-Pyo Hong, "Reducing torque of DC motor by varying input voltage", IEEE Trans. Magn. vol. 42, pp. 1307-1311, 2006. https://doi.org/10.1109/TMAG.2006.871937
  3. L. Zhang and W. L. Qu, "Commutation torque ripple restraint in BLDC motor over whole speed range", in Proc. IEEE ICEMS, pp. 1501-1507. 2005.
  4. Y. Liu, Z. Q. Zhu, and D. Howe, "Direct torque control of brushless DC drives with reduced torque ripple", IEEE Trans. Ind. Appl., vol. 41, no. 2, pp. 599-608, 2005. https://doi.org/10.1109/TIA.2005.844853
  5. Y. Liu, Z. Q. Zhu, and D. Howe, "Instantaneous torque estimation in sensorless direct torque controlled brushless DC motors", IEEE Trans. Ind. Appl., vol. 42, no. 5, pp. 1275-1283, 2006. https://doi.org/10.1109/TIA.2006.880854
  6. Z. Q. Zhu, Y. Liu, and D. Howe, "Steady-state dynamic performance of a direct torque controlled PM brushless DC drive accounting for influence of PWM chopping and cogging torque", in Proc. IEE Int. Conf. Power Electron., Mach. and Drives, Dublin, pp. 556-560, 2006.
  7. Tae-Sung Kim, Sung-Chan Ahn, and Dong-Seok Hyun, "A new current control algorithm for torque ripple reduction of BLDC motors", IECON '01. The 27th Annual Conf. of the IEEE, vol. 2, pp. 1521-1526, 2001.
  8. K. Friston, "The free-energy principle: a unified brain theory?", Nature, vol. 11, no. 2, pp. 127-138, 2010.
  9. K. Friston, "The history of the future of the Bayesian brain", Neuro Image, vol. 62, no. 2, pp. 1230-1233, 2012.
  10. Y. Yamashita and J. Tani, "Emergence of functional hierarchy in a multiple timescale neural network model: a humanoid robot experiment", PLoS Computational Biology, vol. 4, no. 11, 2008.