scholarly journals Robust fault-tolerant control for wing flutter under actuator failure

2016 ◽  
Vol 29 (4) ◽  
pp. 1007-1017 ◽  
Author(s):  
Mingzhou Gao ◽  
Guoping Cai
Keyword(s):  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Actuator Failure ◽  
Wing Flutter

Neural-network-based adaptive fault-tolerant vibration control of single-link flexible manipulator

2019 ◽  
Vol 42 (3) ◽  
pp. 430-438 ◽  
Author(s):  
Le Li ◽  
Jinkun Liu
Keyword(s):  
Neural Network ◽  
Dynamic Model ◽  
Fault Tolerant ◽  
Rbf Neural Network ◽  
Direct Method ◽  
Fault Tolerant Control ◽  
Flexible Manipulator ◽  
Actuator Failure ◽  
Single Link ◽  
Boundary Disturbance

This paper proposes an adaptive fault-tolerant control scheme for a single-link flexible manipulator with actuator failure and uncertain boundary disturbance. The dynamic model of the flexible manipulator as-described by partial differential equations (PDEs) is derived under Hamilton’s principle. The dynamic model is then used to design an adaptive fault-tolerant control (FTC) scheme which tracks the given angle and regulates vibration in the case of actuator failure. The boundary disturbance is compensated by a radial basis function (RBF) neural network. The whole closed-loop system is proven asymptotically stable by Lyapunov direct method and LaSalle’s invariance principle. Simulation results indicate that the proposed controller is superior to the traditional PD controller.

scholarly journals Networked Fault-Tolerant Control Allocation for Multiple Actuator Failures

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
Inseok Yang ◽  
Dongik Lee
Keyword(s):  
Numerical Simulations ◽  
General Model ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Control Technique ◽  
Management Technique ◽  
Control Allocation ◽  
Actuator Failure ◽  
Diagnostic Data ◽  
Actuator Failures

This paper proposes intelligent fault-tolerant control technique using network. Not only control commands generated by a controller but also diagnostic data for tolerating failures can be transmitted through network. In this paper, fault-tolerant control allocation method (FTCA) is proposed to tolerate failures in more than one actuator. FTCA is based on a well-known actuator management technique called control allocation (CA). While the conventional CA is used to redistribute actuators optimally, FTCA redistributes actuators to compensate for the performance degradation due to actuator failure. To analyze the effects of faulty actuator, this paper proposes the general model of the faulty system firstly. And then the modified CA for tolerating the effect of failure is proposed. The performance of the proposed FTCA method is verified by the numerical simulations with application to F-18 High Alpha Research Vehicle (HARV).

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