Recurrent Neural Network Based Robust Actuator and Sensor Fault Estimation for Satellite Attitude Control System

UAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification

Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...

Nonlinear-Fuzzy Based Design Actuator Fault Diagnosis for the Satellite Attitude Control System

Abstract. The objective of this paper is to develop a hybrid scheme (nonlinear observer and fuzzy decision making) for fault detection and isolation (FDI) in the reaction wheels of a satellite. Specifically, the goal is to decide whether a bus voltage fault, a current fault or a temperature fault has occurred in one of the three reaction wheels and further to localize which fault has occurred. ...

Robust Takagi-Sugeno sensor fault tolerant control strategy for nonlinear system

Fault Detection for Satellite Attitude Control System with Computation Constraint

Driven by the satellite’s features such as closed-loop, limited storage space and computing capacity constraint, a fault detection scheme based on the coprime factorization and Youla parameterization is proposed for the on-orbit satellite attitude control system. Based on the SISO dynamic of the satellite in pitch direction and the MIMO one in roll/yaw direction, the residuals equal to  ˆ ( ) ...

Robust H-Infinity Actuator Fault Diagnosis with Neural Network

The paper deals with the problem of a robust actuator fault diagnosis for Linear Parameter-Varying (LPV) systems with Recurrent Neural-Network (RNN). The preliminary part of the paper describes the derivation of a discrete-time polytopic LPV model with RNN. Subsequently, a robust fault detection, isolation and identification scheme is developed, which is based on the observer and H∞ framework f...