Integral Backstepping Control for a PMLSM Using Adaptive RNNUO

@inproceedings{Lin2012IntegralBC,
  title={Integral Backstepping Control for a PMLSM Using Adaptive RNNUO},
  author={Chih-Hong Lin and Chih-Peng Lin},
  year={2012}
}
Due to uncertainties exist in the applications of the a permanent magnet linear synchronous motor (PMLSM) servo drive which seriously influence the control performance, thus, an integral backstepping control system using adaptive recurrent neural network uncertainty observer (RNNUO) is proposed to increase the robustness of the PMLSM drive. First, the field-oriented mechanism is applied to formulate the dynamic equation of the PMLSM servo drive. Then, an integral backstepping approach is… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 22 references

C

  • C. L. Chen
  • C. Peng and H. T. Yau, “High-order sliding mode…
  • 2012

High - order sliding mode controller with backstepping design for aeroelastic systems

  • C. C. Peng, H. T. Yau
  • Communications in Nonlinear Science and Numerical…
  • 2012

H

  • C. C. Wang, N. S. Pai
  • T. Yau, “Chaos control in AFM system using…
  • 2011

Recurrent neural networks for temporal data processing

  • H. Cardot
  • InTech, Open Access Publisher
  • 2011

Chaos control in AFM system using sliding mode control by backstepping design

  • N. S. Pai, T. Yau H
  • Communications in Nonlinear Science and Numerical…
  • 2010

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