Adaptive Fuzzy-PID Based Pitch Angle Control of Wind Turbine

Ali, Mustafa M.; Youssef, Abdel‐Raheem; Abdel-Gaber, GT; Ali, Ahmed S.

doi:10.1109/mepcon.2018.8635229

Cited by 12 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These gains in a conventional PID controller are fixed but in this research work, the parameters are updated using a fuzzy tuner structure [15]. Initial values are selected randomly, generally as unity which is recursively updated by the FLC structure.…”

Section: Updating Algorithm For Pid Gainsmentioning

confidence: 99%

An Advanced Neuro-Fuzzy Tuned PID Controller for Pitch Control of Horizontal Axis Wind Turbines

2022

View full text Add to dashboard Cite

Modern power systems comprise a variety of generating systems, including conventional thermal power stations and advanced renewable generating sources, one contender being a wind energy conversion system (WECS). Blade pitch control is an important part of the highly non-linear WECS. Many control strategies have been proposed by researchers around the globe. Current research work focuses on developing a control structure for a non-linear pitch control system using an advanced neuro-fuzzy tuned PID (NF-PID) controller. This approach utilizes the simplicity of a PID controller and the power of a soft computing technique like neuro-fuzzy to handle non-linearity. The model in this study is developed on the MATLAB Simulink platform and the obtained simulation results satisfy the requirements of constant output power even if the wind speed input changes abruptly.

show abstract

Section: Updating Algorithm For Pid Gainsmentioning

confidence: 99%

An Advanced Neuro-Fuzzy Tuned PID Controller for Pitch Control of Horizontal Axis Wind Turbines

2022

View full text Add to dashboard Cite

show abstract

“…The harvested mechanical power,

, from the WT is attained as follows [ 27 , 50 ]:

where

denotes power coefficient,

indicates TSR and

is pitch angle. In this study, the pitch angle is assumed to be zero, and the TSR and the

are formulated as

where

refers to the rotor speed.…”

Section: Studied Variable-speed Wecs Modelingmentioning

confidence: 99%

Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Model Reference Adaptive Control

Alrowaili

Ali

Youssef

et al. 2021

Sensors

View full text Add to dashboard Cite

To treat the stochastic wind nature, it is required to attain all available power from the wind energy conversion system (WECS). Therefore, several maximum power point tracking (MPPT) techniques are utilized. Among them, hill-climbing search (HCS) techniques are widely implemented owing to their various features. Regarding current HCS techniques, the rotor speed is mainly perturbed using predefined constants or objective functions, which makes the selection of step sizes a multifaceted task. These limitations are directly reflected in the overall dynamic WECS performance such as tracking speed, power fluctuations, and system efficiency. To deal with the challenges of the existing HCS techniques, this paper proposes a new adaptive HCS (AD-HCS) technique with self-adjustable step size using model reference adaptive control (MRAC) based on the PID controller. Firstly, the mechanical power fluctuations are detected, then the MRAC continuously optimizes the PID gains so as to generate an appropriate dynamic step size until harvesting the maximum power point (MPP) under the optimal tracking conditions. Looking specifically at the simulation results, the proposed AD-HCS technique exhibits low oscillations around the MPP and a small settling time. Moreover, WECS efficiency is increased by 5% and 2% compared to the conventional and recent HCS techniques, respectively. Finally, the studied system is confirmed over a 1.5 MW, gird-tied, double-fed induction generator (DFIG) WECS using MATLAB/Simulink.

show abstract

“…To improve the control effect during severe disturbances and avoid the torque ripple caused by conventional proportion integration differentiation (PID) controllers, adaptive fuzzy-PID controllers can be utilized in variable-speed wind turbines [63]. Fuzzy-PID controllers endow blade pitch angle controllers with the capability to maintain control even under unbalanced faults, as well as handle situations with unstable wind power.…”

Section: Wind Turbine Controlmentioning

confidence: 99%

Low-Voltage Ride-Through Techniques in DFIG-Based Wind Turbines: A Review

Qin

Zhou

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

In recent years, considerable advances were made in wind power generation. The growing penetration of wind power makes it necessary for wind turbines to maintain continuous operation during voltage dips, which is stated as the low-voltage ride-through (LVRT) capability. Doubly fed induction generator (DFIG)-based wind turbines (DFIG-WTs), which are widely used in wind power generation, are sensitive to disturbances from the power grid. Therefore, several kinds of protection circuits and control methods are applied to DFIG-WTs for LVRT capability enhancement. This paper gives a comprehensive review and evaluation of the proposed LVRT solutions used in DFIG-WTs, including external retrofit methods and internal control techniques. In addition, future trends of LVRT solutions are also discussed in this paper.

show abstract

Adaptive Fuzzy-PID Based Pitch Angle Control of Wind Turbine

Cited by 12 publications

References 8 publications

An Advanced Neuro-Fuzzy Tuned PID Controller for Pitch Control of Horizontal Axis Wind Turbines

An Advanced Neuro-Fuzzy Tuned PID Controller for Pitch Control of Horizontal Axis Wind Turbines

Robust Adaptive HCS MPPT Algorithm-Based Wind Generation System Using Model Reference Adaptive Control

Low-Voltage Ride-Through Techniques in DFIG-Based Wind Turbines: A Review

Contact Info

Product

Resources

About