LPV Controller Design of Wind Turbine with Maximum Power Point Tracking

Authors

Zheng Yang, Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China;
Dinghui Wu, Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China;
Zhicheng Ji, Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi 214122, China;

Abstract

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.

Recommended Citation

Yang, Zheng; Wu, Dinghui; and Ji, Zhicheng (2019) "LPV Controller Design of Wind Turbine with Maximum Power Point Tracking," Journal of System Simulation: Vol. 31: Iss. 5, Article 16.
DOI: 10.16182/j.issn1004731x.joss.17-0174
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss5/16

First Page

955

Revised Date

2017-06-01

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.17-0174

Last Page

962

CLC

TP273+.4

Recommended Citation

Zheng Yang, Wu Dinghui, Ji Zhicheng. LPV Controller Design of Wind Turbine with Maximum Power Point Tracking[J]. Journal of System Simulation, 2019, 31(5): 955-962.

DOI

10.16182/j.issn1004731x.joss.17-0174