scholarly journals Fault-Tolerant Control of Doubly-Fed Wind Turbine Generation Systems under Sensor Fault Conditions

Energies ◽  
2019 ◽  
Vol 12 (17) ◽  
pp. 3239 ◽  
Author(s):  
Guodong You ◽  
Tao Xu ◽  
Honglin Su ◽  
Xiaoxin Hou ◽  
Xue Wang ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Control Method ◽  
Fuzzy Controller ◽  
Fault Tolerant ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Fuzzy Observer ◽  
Doubly Fed

This paper studies the fault-tolerant control problem of uncertain doubly-fed wind turbine generation systems with sensor faults. Considering the uncertainty of the system, a fault-tolerant control strategy based on a T-S fuzzy observer is proposed. The fuzzy observer is established based on the T-S fuzzy model of the uncertain nonlinear system. According to the comparison and analysis of residual between the state estimation of the fuzzy observer output and the measured value of the real sensor, a fault detection and isolation (FDI) based on T-S fuzzy observer is designed. Then by using a Parallel Distributed Compensation (PDC) method we design the robust fuzzy controller. Finally, the necessary and sufficient conditions for the stability of the closed-loop system are proved by quoting Lyapunov stability theory. The simulation results verify the effectiveness of the proposed control method.

scholarly journals Integrated FDI/FTC approach for wind turbines using a LPV interval predictor subspace approach and virtual sensors/actuators

2021 ◽  
pp. 095765092110020
Author(s):  
Houda Chouiref ◽  
Boumedyen Boussaid ◽  
Mohamed Naceur Abdelkrim ◽  
Vicenç Puig ◽  
Christophe Aubrun
Keyword(s):  
Fault Detection ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Active Fault ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Active Fault Tolerant Control

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.

scholarly journals Variance and Passivity Constrained Fuzzy Control for Nonlinear Ship Steering Systems with State Multiplicative Noises

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Wen-Jer Chang ◽  
Bo-Jyun Huang
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Lyapunov Theory ◽  
Linear Matrix ◽  
Multiplicative Noises ◽  
Ship Steering ◽  
The Matrix

The variance and passivity constrained fuzzy control problem for the nonlinear ship steering systems with state multiplicative noises is investigated. The continuous-time Takagi-Sugeno fuzzy model is used to represent the nonlinear ship steering systems with state multiplicative noises. In order to simultaneously achieve variance, passivity, and stability performances, some sufficient conditions are derived based on the Lyapunov theory. Employing the matrix transformation technique, these sufficient conditions can be expressed in terms of linear matrix inequalities. By solving the corresponding linear matrix inequality conditions, a parallel distributed compensation based fuzzy controller can be obtained to guarantee the stability of the closed-loop nonlinear ship steering systems subject to variance and passivity performance constraints. Finally, a numerical simulation example is provided to illustrate the usefulness and applicability of the proposed multiple performance constrained fuzzy control method.

Fault-Tolerant Control of Nonlinear Systems With Actuator and Sensor Faults Based on T-S Fuzzy Model and Fuzzy Observer

2021 ◽  
pp. 1-10
Author(s):  
Yunfei Mu ◽  
Huaguang Zhang ◽  
Ruipeng Xi ◽  
Zhiliang Wang ◽  
Jiayue Sun
Keyword(s):  
Nonlinear Systems ◽  
Fault Tolerant ◽  
Fuzzy Model ◽  
Fault Tolerant Control ◽  
Sensor Faults ◽  
Fuzzy Observer

Research of Robust Fault-Tolerant Control for T-S Fuzzy Time-Delays Descriptor System

2013 ◽  
Vol 385-386 ◽  
pp. 808-811
Author(s):  
Chun Lei Zhao ◽  
Yi Nan Xu ◽  
Dong Bi Zhu ◽  
Cheng Zhe Xu
Keyword(s):  
Time Delays ◽  
Control Method ◽  
Fault Tolerant ◽  
Design Method ◽  
Fuzzy Model ◽  
Fault Tolerant Control ◽  
Lyapunov Stability Theory ◽  
Descriptor System ◽  
Sensor Faults ◽  
Fuzzy State

In order to describe the time-delays and faults on continuous nonlinear descriptor system using T-S fuzzy model, an observer is proposed to estimate system states, actuator and sensor faults. A fuzzy state feedback controller is constructed for faults compensations. On the basic of Lyapunov stability theory, the proposed robust fault-tolerant control method ensures the closed-loop system to be robust stability even as faults occur. The actuator and sensor faults can be diagnosed and estimated in 0.2 seconds. The performance of the proposed design method is effective in simulations.

scholarly journals Fault Tolerant Control in Redundant Inertial Navigation System

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaoqiang Dai ◽  
Lin Zhao ◽  
Zhen Shi
Keyword(s):  
Navigation System ◽  
Control Algorithm ◽  
Inertial Navigation System ◽  
Control Method ◽  
Fault Tolerant ◽  
Inertial Navigation ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Feedback Gain ◽  
Noise Characteristics

Conventional fault detection and isolation technology cannot fully ensure system redundancy features when sensors experience drift in a redundant inertial navigation system. A new fault tolerant control method employs state estimation and state feedback techniques to compensate the sensor drift. However, the method is sensitive to measurement noise characteristics, and the performance of the method nearly depends on the feedback gain. This paper proposes an improved fault tolerant control algorithm, which employs an adaptive extended Kalman particle filter (AEKPF) to deal with unknown noise characteristics and model inaccuracies. In addition, a drift factor is introduced in the improved fault tolerant controlin order to reduce the dependence of compensation system on the feedback gain. Simulation results show that the improved fault tolerant control algorithm can effectively correct the faulty sensor even when the multiple erroneous sensors are producing faulty outputs simultaneously. Meanwhile, the AEKPF is able to solve the problem of unknown non-Gaussian noise characteristics. Moreover, the feedback gain is significantly improved by the drift factor.

Active fault tolerant control of wind turbine systems based on DFIG with actuator fault and disturbance using Takagi–Sugeno fuzzy model

2018 ◽  
Vol 355 (16) ◽  
pp. 8194-8212 ◽  
Author(s):  
Shanzhi Li ◽  
Haoping Wang ◽  
Abdel Aitouche ◽  
Nicolai Christov
Keyword(s):  
Wind Turbine ◽  
Active Fault ◽  
Fault Tolerant ◽  
Fuzzy Model ◽  
Fault Tolerant Control ◽  
Actuator Fault ◽  
Active Fault Tolerant Control ◽  
Takagi Sugeno
Sign in / Sign up

Export Citation Format

Share Document