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Sliding mode controller based on type-2 fuzzy logic PID for a variable speed wind turbine

  • Zineb Lahlou
  • Khaddouj Ben MezianeEmail author
  • Ismail Boumhidi
Original Article

Abstract

In this paper, an optimal type-2 fuzzy logic proportional integral derivative controller based on sliding mode controller (IT2FL-PID-SMC) is designed for a wind turbine with variable speed. The major aim of this work is to overcome the deficiencies of the classical sliding mode controller. In this study, the sliding mode controller presented is modified; the sliding surface is replaced by the type-2 fuzzy proportional integral derivative controller. The type-2 fuzzy system is used to improve the classical sliding mode control efficiency and the robustness. The proposed (IT2FL-PID-SMC) can be used to reach strong stability as well as increase the variable speed wind turbine performance. The reliability and consistency of the proposed approach is assessed by completing simulations and analyzing comparisons with the classical SMC. The simulation results are clearly indicated the effectiveness and the validity of the proposed method, in terms of precision and time of convergence.

Keywords

Variable speed wind turbine Sliding mode PID controller Type-2 fuzzy logic Stability 

List of symbols

\( \omega_{r} \)

Rotor speed

\( J_{r} \)

Rotor inertia

\( K_{r} \)

Rotor friction coefficient

\( \theta_{r} \)

Rotor side angular deviation

\( T_{ls} \)

Shaft torque

\( B_{ls} \)

Shaft stiffness coefficient

\( K_{ls} \)

Shaft damping coefficient

\( \theta_{ls} \)

Gearbox side angular deviation

\( T_{hs} \)

Shaft torque

\( T_{em} \)

Generator electromagnetic torque

\( J_{g} \)

Generator inertia

\( \omega_{g} \)

Generator speed

\( K_{g} \)

Generator friction coefficient

\( n_{g} \)

Transmission ratio

\( \theta_{g} \)

Generator side angular deviation

\( v \)

Wind speed

\( \rho \)

The air density

Notes

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Copyright information

© The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2019

Authors and Affiliations

  1. 1.LESSI Laboratory, Department of Physics, Faculty of Sciences Dhar el MahrazSidi Mohamed Ben Abdellah UniversityFezMorocco

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