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

Adaptive Fuzzy Observer-Based Fault-Tolerant Control for Takagi–Sugeno Descriptor Nonlinear Systems with Time Delay

2017 ◽  
Vol 37 (4) ◽  
pp. 1542-1561 ◽  
Author(s):  
Dhouha Kharrat ◽  
Hamdi Gassara ◽  
Ahmed El Hajjaji ◽  
Mohamed Chaabane
Keyword(s):  
Time Delay ◽  
Nonlinear Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fuzzy Observer ◽  
Adaptive Fuzzy ◽  
Adaptive Fuzzy Observer ◽  
Takagi Sugeno

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.

Adaptive neural fault-tolerant control for a class of strict-feedback nonlinear systems with actuator and sensor faults

2020 ◽  
Vol 380 ◽  
pp. 87-94 ◽  
Author(s):  
Xinghu Yu ◽  
Tong Wang ◽  
Huijun Gao
Keyword(s):  
Nonlinear Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Sensor Faults ◽  
Strict Feedback

scholarly journals Fuzzy Predictive Fault-Tolerant Control for Time-Delay Nonlinear Systems with Partial Actuator Failures

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Huiyuan Shi ◽  
Ping Li ◽  
Chengli Su ◽  
Jingxian Yu
Keyword(s):  
Nonlinear Systems ◽  
State Space ◽  
Discrete Time ◽  
Fault Tolerant ◽  
Fuzzy Model ◽  
Fault Tolerant Control ◽  
Model Description ◽  
Time Varying ◽  
Actuator Failures ◽  
Stable Conditions

A fuzzy predictive fault-tolerant control (FPFTC) scheme is proposed for a wide class of discrete-time nonlinear systems with uncertainties, interval time-varying delays, and partial actuator failures as well as unknown disturbances, in which the main opinions focus on the relevant theory of FPFTC based on Takagi-Sugeno (T-S) fuzzy model description of these systems. The T-S fuzzy model represents the discrete-time nonlinear system in the form of the discrete uncertain time-varying delay state space, which is firstly constructed by a set of local linear models and the nonlinear membership functions. The novel improved state space model can be further obtained by extending the output tracking error to the constructed model. Then the fuzzy predictive fault-tolerant control law based on this extended model is designed, which can increase more control degrees of freedom. Utilizing Lyapunov-Krasovskill theory, less conservative delay-range-dependent stable conditions in terms of linear matrix inequality (LMI) constraints are given to ensure the asymptotically robust stability of closed-loop system. Meanwhile, the optimized cost function and H-infinity performance index are introduced to the stable conditions to guarantee the robust performance and antidisturbance capability. The simulation results on the temperature control of a strong nonlinear continuous stirred tank reactor (CSTR) show that the proposed control scheme is feasible and effective.

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