Journal of System Simulation ›› 2019, Vol. 31 ›› Issue (5): 955-962.doi: 10.16182/j.issn1004731x.joss.17-0174

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LPV Controller Design of Wind Turbine with Maximum Power Point Tracking

Zheng Yang, Wu Dinghui, Ji Zhicheng   

  1. Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China
  • Received:2017-04-20 Revised:2017-06-01 Online:2019-05-08 Published:2019-11-20

Abstract: A design method of the polytopic controller under the maximum power point tracking (MPPT) is proposed in addressing the low efficiency of the wind turbine under rated wind speed and uncertainty of the wind speed. Considering high nonlinearity of the aerodynamic system, the Jacobi linearization and the convex decomposition technique are employed to transform the wind turbine system into a polytopic linear parameter varying (LPV) model with the bias torque of the aerodynamic torque as the scheduling variable. By solving the linear matrix inequalities (LMIs), a polytopic LPV controller is obtained. The simulation results show that the designed controller not only guarantees the MPPT under the rated wind speed, but also has strong robustness.

Key words: wind turbine, linear parameter varying, maximum power point tracking, polytopic controller

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