New method of sensor failure detection and correction in flight control systems

2002 ◽  
Author(s):  
Yan Dong ◽  
Zhang Hongyue
Keyword(s):  
Control Systems ◽  
Flight Control ◽  
Failure Detection ◽  
New Method ◽  
Sensor Failure

scholarly journals Design and simulation of advanced fault tolerant flight control schemes

2006 ◽  
Author(s):  
◽  
Srikanth Gururajan ◽  
Keyword(s):  
Neural Network ◽  
Flight Control ◽  
Message Passing Interface ◽  
Fault Tolerant ◽  
Failure Detection ◽  
Sensor Failure ◽  
Back Propagation Algorithm ◽  
Control Scheme ◽  
Control Schemes ◽  
Simulation Package

This research effort describes the design and simulation of a distributed Neural Network (NN) based fault tolerant flight control scheme and the interface of the scheme within a simulation/visualization environment. The goal of the fault tolerant flight control scheme is to recover an aircraft from failures to its sensors or actuators. A commercially available simulation package, Aviator Visual Design Simulator (AVDS), was used for the purpose of simulation and visualization of the aircraft dynamics and the performance of the control schemes.;For the purpose of the sensor failure detection, identification and accommodation (SFDIA) task, it is assumed that the pitch, roll and yaw rate gyros onboard are without physical redundancy. The task is accomplished through the use of a Main Neural Network (MNN) and a set of three De-Centralized Neural Networks (DNNs), providing analytical redundancy for the pitch, roll and yaw gyros. The purpose of the MNN is to detect a sensor failure while the purpose of the DNNs is to identify the failed sensor and then to provide failure accommodation. The actuator failure detection, identification and accommodation (AFDIA) scheme also features the MNN, for detection of actuator failures, along with three Neural Network Controllers (NNCs) for providing the compensating control surface deflections to neutralize the failure induced pitching, rolling and yawing moments. All NNs continue to train on-line, in addition to an offline trained baseline network structure, using the Extended Back-Propagation Algorithm (EBPA), with the flight data provided by the AVDS simulation package.;The above mentioned adaptive flight control schemes have been traditionally implemented sequentially on a single computer. This research addresses the implementation of these fault tolerant flight control schemes on parallel and distributed computer architectures, using Berkeley Software Distribution (BSD) sockets and Message Passing Interface (MPI) for inter-process communication.

Recent advances in active fault tolerant flight control systems

2021 ◽  
pp. 095441002110628
Author(s):  
Muhammad Sohail Khan Raja ◽  
Qasim Ali
Keyword(s):  
Control Systems ◽  
Flight Control ◽  
Active Fault ◽  
Fault Tolerant ◽  
State Of The Art ◽  
Fault Tolerant Control ◽  
System Component ◽  
Future Research ◽  
Sensor Failure ◽  
Art Research

The Flight Control System (FCS) is considered as the brain of an aerial vehicle. It is a mechanism through which pilot’s commands are transferred to the actuators of the aircraft control surfaces. In order to ensure safety and increase reliability of aerial vehicles, development of fault tolerant FCSs has been the focus of research community for past few decades. Fault tolerant ability enables an aircraft to maintain satisfactory performance even in the state of a fault. Fault Tolerant Control Systems (FTCS) are categorized as passive and active control systems. Passive FTCS are designed to mitigate the effects of certain known faults. These faults can be related to sensor failure, actuator failure, or system component failure. On the other hand, active FTCS contain a controller reconfiguration mechanism, whereby, they can adjust the controller input online to mitigate the effects of the faults. In this way, they can accommodate complicated and versatile faults as compared to their passive counterparts. This paper presents a review of significant research during last decade in active fault tolerant control with applications to FCSs. A review of state-of-the-art works in this domain has also been presented. Upon review, these state-of-the-art research interests have been categorized into respective categories. Furthermore, research works have been cataloged based on their technology readiness levels. Based on these reviews, future research directions have also been highlighted.

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