Active fault tolerant control of a wind turbine via T-S fuzzy model predictive control

Author(s):  
Xiaoran Feng ◽  
Ron Patton
2021 ◽  
Author(s):  
Mariem Makni ◽  
Ihab Haidar ◽  
Jean-Pierre Barbot ◽  
Franck Plestan ◽  
Nabih Feki ◽  
...  

Author(s):  
Houda Chouiref ◽  
Boumedyen Boussaid ◽  
Mohamed Naceur Abdelkrim ◽  
Vicenç Puig ◽  
Christophe Aubrun

In order to keep wind turbines connected and in operation at all times despite the occurrence of some faults, advanced fault detection and accommodation schemes are required. To achieve this goal, this paper proposes to use the Linear Parameter Varying approach to design an Active Fault Tolerant Control for wind turbines. This Active Fault Tolerant Control is integrated with a Fault Detection and Isolation approach. Fault detection is based on a Linear Parameter Varying interval predictor approach while fault isolation is based on analysing the residual fault signatures. To include fault-tolerance in the control system (already available in the considered wind turbine case study based on the well known SAFEPROCESS benchmark), the information of the Fault Detection and Isolation approach block is exploited and it is used in the implementation of a virtual actuator and sensor scheme. The proposed Active Fault Tolerant Control is evaluated using fault scenarios which are proposed in the wind turbine benchmark to assess its performance. Results show the effectiveness of the proposed Active Fault Tolerant Control approach in faulty situation.


Sign in / Sign up

Export Citation Format

Share Document