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Sliding Mode Controller for Torque and Pitch Control of PMSG Wind Power Systems

  • Lee, Sung-Hun (Dept. of Electricity and Electronic Engineering, Republic of Korea Naval Academy) ;
  • Joo, Young-Jun (ASRI, School of Electrical Engineering and Computer Science, Seoul National University) ;
  • Back, Ju-Hoon (School of Robotics, Kwangwoon University) ;
  • Seo, Jin-Heon (ASRI, School of Electrical Engineering and Computer Science, Seoul National University) ;
  • Choy, Ick (School of Robotics, Kwangwoon University)
  • 투고 : 2010.11.16
  • 발행 : 2011.05.20

초록

We propose a torque and pitch control scheme for variable speed wind turbines with permanent magnet synchronous generator (PMSG). A torque controller is designed to maximize the power below the rated wind speed and a pitch controller is designed to regulate the output power above the rated wind speed. The controllers exploit the sliding mode control scheme considering the variation of wind speed. Since the aerodynamic torque and rotor acceleration are difficult to measure in practice, a finite time convergent observer is designed which estimates them. In order to verify the proposed control strategy, we present stability analysis as well as simulation results.

키워드

참고문헌

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피인용 문헌

  1. Switching Control of Wind Turbine Sub-Controllers Based on an Active Disturbance Rejection Technique vol.9, pp.10, 2016, https://doi.org/10.3390/en9100793
  2. Continuous Sliding Mode Control for Permanent Magnet Synchronous Motor Speed Regulation Systems Under Time-Varying Disturbances vol.16, pp.4, 2016, https://doi.org/10.6113/JPE.2016.16.4.1324
  3. Advanced Pitch Angle Control Based on Fuzzy Logic for Variable-Speed Wind Turbine Systems vol.30, pp.2, 2015, https://doi.org/10.1109/TEC.2014.2379293
  4. A comparative study of current control schemes for a direct-driven PMSG wind energy generation system vol.143, 2017, https://doi.org/10.1016/j.epsr.2016.10.039
  5. PWM-Based Sliding Mode Controller for Three-Level Full-Bridge DC-DC Converter that Eliminates Static Output Voltage Error vol.15, pp.2, 2015, https://doi.org/10.6113/JPE.2015.15.2.378
  6. Analysis on renewable energy systems vol.28, 2013, https://doi.org/10.1016/j.rser.2013.07.033
  7. Power regulation and control of wind turbines: LMI-based output feedback approach vol.27, pp.12, 2017, https://doi.org/10.1002/etep.2450
  8. Adaptive Continuous Neural Pitch Angle Control for Variable-Speed Wind Turbines pp.15618625, 2018, https://doi.org/10.1002/asjc.1963