Performance Enhancement of Wind Turbine Systems using Type-2 Fuzzy Logic Control: comparative study - Archive ouverte HAL Access content directly
Conference Papers Year :

Performance Enhancement of Wind Turbine Systems using Type-2 Fuzzy Logic Control: comparative study

, , (1)
1
Amal Dendouga
  • Function : Author
  • PersonId : 1131191
Abdelhakim Dendouga
  • Function : Author
  • PersonId : 1059615

Abstract

his paper focuses on the development and design of a type-2 fuzzy logic controller (T2-FLC) for the control of a variable-speed wind energy conversion system (WECS). In this context, the maximum power point tracking (MPPT) strategy has been used for extracting maximum available power from the wind system under varying wind conditions. Until now, the conventional type-1 fuzzy controller (T1-FLC) has been widely used in several applications, due to its high performance. However, in many modern applications, it is necessary to use controllers that have the ability to cope with wide amounts of uncertainties. Consequently, Type-2 FLCs will have the potential to overcome the limitations of Type-1 FLCs which can improve performance for systems that need handling high levels of uncertainty. To discover the strengths and weaknesses of the proposed controller over to T1-FLC and proportional-integral PI controller, a comparative study was executed. The results obtained confirm the efficiency and high performance obtained by T2-FLC compared to other types of controllers.
Not file

Dates and versions

hal-03624059 , version 1 (30-03-2022)

Identifiers

  • HAL Id : hal-03624059 , version 1

Cite

Amal Dendouga, Abdelhakim Dendouga, Najib Essounbouli. Performance Enhancement of Wind Turbine Systems using Type-2 Fuzzy Logic Control: comparative study. International Multi-Conference on Systems, Signals & Devices (SSD), 2022, Setif, Algeria. ⟨hal-03624059⟩
36 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More