A new Fault Tolerant Controller (FTC) has been presented in this research by integrating a Fault Detection and Diagnosis (FDD) mechanism in a nonlinear model predictive controller framework. The proposed FDD utilizes a Multi-Sensor Data Fusion (MSDF) methodology to enhance its reliability and estimation accuracy. An augmented state-vector model is developed to incorporate the occurred senso...

a new fault tolerant controller (ftc) has been presented in this research by integrating a fault detection and diagnosis (fdd) mechanism in a nonlinear model predictive controller framework. the proposed fdd utilizes a multi-sensor data fusion (msdf) methodology to enhance its reliability and estimation accuracy. an augmented state-vector model is developed to incorporate the occurred sensor fa...

In this work a novel Multi-Sensor Data Fusion (MSDF) architecture with fault tolerant characteristics is proposed. This MSDF architecture is based on Kalman filtering and fuzzy logic techniques. First, the measurement coming from each sensor is fed to a fuzzy–adapted Kalman filter (FKF). The adaptation is in the sense of adjusting the measurement noise covariance matrix R using a fuzzy inferenc...

This paper proposes a technique for measurement of liquid flow using venturi and ultrasonic flow meter(UFM) to have following objectives a) to design a multi-sensor data fusion (MSDF) architecture for using both the sensors, b) improve sensitivity and linearity of venturi and ultrasonic flow meter and c) detect and diagnosis of faults in sensor if any. Fuzzy logic algorithm is used to fuse outp...

Abstract: This project addresses specifically the identity data fusion aspects of the decision support system. It discusses how the identity information fusion process fits within a generic Multi-Source Data Fusion (MSDF) system. The MSDF system is applied to information sources which include a number of radars, IFF systems, an ESM system, and a remote track source. The conventional Dempster-Sh...

This paper describes a phased incremental integration approach for application of image analysis and data fusion technologies to provide automated intelligent target tracking and identification for Airborne Surveillance on board an Aurora Maritime Patrol Aircraft. The sensor suite of the Aurora consists of a radar, an Identification Friend or Foe (IFF) system, an Electronic Support Measures (ES...

In this work a novel Multi-Sensor Data Fusion (MSDF) architecture is presented. First, each measurement-vector coming from each sensor is fed to a Fuzzy Logic-based Adaptive Kalman Filter (FL-AKF); thus there are N sensors and N FL-AKFs working in parallel. The adaptation in each FL-AKF is in the sense of dynamically tuning the measurement noise covariance matrix R employing a fuzzy inference s...

The self-acting generation of three-dimensional models by analysing monocular image streams from standard cameras is one fundamental problem in the field of computer vision. A prerequisite for the scene modelling is the former computation of camera poses for the different frames of the sequence. Several techniques and methodologies are introduced during recent decades to solve this classical St...

Multispectral imaging using Unmanned Aerial Vehicles (UAVs) has changed the pace of precision agriculture. Actual evapotranspiration (ETa) from very high spatial resolution UAV images over agricultural fields can help farmers increase their production at lowest possible cost. ETa estimation UAVs requires a full package sensors capturing visible/infrared and thermal portions spectrum. Therefore,...