scholarly journals Hierarchical Fault-Tolerant Control using Model Predictive Control for Wind Turbine Pitch Actuator Faults

Energies ◽  
2019 ◽  
Vol 12 (16) ◽  
pp. 3097 ◽  
Author(s):  
Donggil Kim ◽  
Dongik Lee
Keyword(s):  
Wind Turbine ◽  
Predictive Control ◽  
Wind Turbines ◽  
Large Scale ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Actuator Faults ◽  
Control Techniques ◽  
Parameter Estimations ◽  
Installed Capacity

Wind energy is one of the fastest growing energy sources in the world. It is expected that by the end of 2022 the installed capacity will exceed 250 GW thanks to the supply of large scale wind turbines in Europe. However, there are still challenging problems with wind turbines. In particular, off-shore and large-scale wind turbines are required to tackle the issue of maintainability and availability because they are installed in harsh off-shore environments, which may also prevent engineers from accessing the site for immediate repair works. Fault-tolerant control techniques have been widely exploited to overcome this issue. This paper proposes a novel fault-tolerant control strategy for wind turbines. The proposed strategy has a hierarchical structure, consisting of a pitch controller and a wind turbine controller, with parameter estimations using the adaptive fading Kalman filter technique. The pitch controller compensates any fault with a pitching actuator, while the wind turbine controller computes the optimal reference command for pitching behavior so that the effect of the fault with a pitch actuator can be minimized. The performance of the proposed approach is demonstrated through a set of simulations with a wind turbine benchmark model.

scholarly journals Fault-Tolerant Control of a Wind Turbine Generator Based on Fuzzy Logic and Using Ensemble Learning

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 5167
Author(s):  
Jordi Cusidó ◽  
Arnau López ◽  
Mattia Beretta
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Wind Energy ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Turbine Generator ◽  
Fast Wind ◽  
Installed Capacity

Wind energy is a form of renewable energy with the highest installed capacity. However, it is necessary to reduce the operation and maintenance costs and extend the lifetime of wind turbines to make wind energy more competitive. This paper presents a power-derating-based Fault-Tolerant Control (FTC) model in 2 MW three-bladed wind turbines implemented using the National Renewable Energy Laboratory’s (NREL) Fatigue, Aerodynamics, Structures, and Turbulence (FAST) wind turbine simulator. This control strategy is potentially supported by the health status of the gearbox, which was predicted by means of algorithms and quantified in an indicator denominated as a merge developed by SMARTIVE, a pioneering of in this idea. Fuzzy logic was employed in order to decide whether to down-regulate the output power or not, and to which level to adjust to the needs of the turbines. Simulation results demonstrated that a reduction in the power output resulted in a safer operation, since the stresses withstood by the blades and tower significantly decreased. Moreover, the results supported empirically that a diminution in the generator torque and speed was acheived, resulting in a drop in the gearbox bearing and oil temperatures. By implementing this power-derating FTC, the downtime due to failure stops could be controlled, and thus the power production noticeably grew. It has been estimated that more than 325,000 tons of CO2 could be avoided yearly if implemented globally.

scholarly journals Fault Tolerant Control of Internal Faults in Wind Turbine: Case Study of Gearbox Efficiency Decrease

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Younes Ait El Maati ◽  
Lhoussain El Bahir ◽  
Khalid Faitah
Keyword(s):  
Steady State ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Operating Point ◽  
Rotor Speed ◽  
Integral Term ◽  
Internal Faults

This paper presents a method to control the rotor speed of wind turbines in presence of gearbox efficiency fault. This kind of faults happens due to lack of lubrication. It affects the dynamic of the principal shaft and thus the rotor speed. The principle of the fault tolerant control is to find a bloc that equalizes the dynamics of the healthy and faulty situations. The effectiveness decrease impacts on not only the dynamics but also the steady state value of the rotor speed. The last reason makes it mandatory to add an integral term on the steady state error to cancel the residual between the measured and operating point rotor speed. The convergence of the method is proven with respect to the rotor parameters and its effectiveness is evaluated through the rotor speed.

scholarly journals Adaptive Observer Based Fault Tolerant Control for Sensor and Actuator Faults in Wind Turbines

Sensors ◽  
2021 ◽  
Vol 21 (24) ◽  
pp. 8170
Author(s):  
Jing Teng ◽  
Changling Li ◽  
Yizhan Feng ◽  
Taoran Yang ◽  
Rong Zhou ◽  
...  
Keyword(s):  
Wind Turbines ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Adaptive Observer ◽  
Pole Placement ◽  
Fault Estimation ◽  
Actuator Faults ◽  
Control Scheme ◽  
Adaptive Observers ◽  
Generation Capacity

The installed wind energy generation capacity has been increasing dramatically all over the world. However, most wind turbines are installed in hostile environments, where regular operation needs to be ensured by effective fault tolerant control methods. An adaptive observer-based fault tolerant control scheme is proposed in this article to address the sensor and actuator faults that usually occur on the core subsystems of wind turbines. The fast adaptive fault estimation (FAFE) algorithm is adopted in the adaptive observers to accurately and rapidly located the faults. Based on the states and faults estimated by the adaptive observers, the state feedback fault tolerant controllers are designed to stabilize the system and compensate for the faults. The gain matrices of the controllers are calculated by the pole placement method. Simulation results illustrate that the proposed fault tolerant control scheme with the FAFE algorithm stabilizes the faulty system effectively and performs better than the baseline on the benchmark model of wind turbines.

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