Generalized likelihood ratio test for optical subpixel objects’ detection with hypothesis-dependent background covariance matrix

Much interest has arisen in the problem of detecting weak optical subpixel objects in a sequence of images immersed in a heavy homogeneous Gaussian clutter background. In optical systems, the presence of the objects changes the background plus the channel noise covariance matri

DIAGNÓSTICO DE FALLAS EN LA MÁQUINA DE CORRIENTE ALTERNA UTILIZANDO BOND GRAPH.

Tesis de Maestrí

Real-time Localization of an UAV using Kalman Filter and a Wireless Sensor Network

International audienc

Vision based stabilization of a quadrotor using nested saturation control approach

International audienc

Real-time localization using wireless sensor network. Application to an Unmanned Aerial Vehicle

International audienc

Conception et implantation embarquée d'un système de localisation en utilisant les signaux radio pour la stabilisation d'un mini drone

COMPIEGNE-BU (601592101) / SudocSudocFranceF

Current Sensorless MPPT Control for PV Systems Based on Robust Observer

Photovoltaic (PV) systems are among the most used alternatives for electrical power generation from renewable sources. To ensure that PV systems make the most of the available solar energy, maximum power point tracking (MPPT) schemes must be implemented, which usually require voltage and current sensors to track the PV power. This paper presents the design of a robust observer using the Attractive Ellipsoid Method to achieve a precise estimation of PV current under parametric uncertainty and output perturbations. The application of such an observer enables the PV generation system to operate in a current sensorless mode, which reduces the overall cost of the system and enhances its reliability. The convergence of the observer is guaranteed by solving an optimization problem which generates the optimal gains using Linear Matrix Inequalities (LMI). To prove the effectiveness of the proposed sensorless scheme, simulations are performed in Matlab under test profiles based on the EN50530 standard and parameter uncertainty conditions, obtaining an accurate estimation which is used for MPPT operation

Current Sensorless MPPT Control for PV Systems Based on Robust Observer

Photovoltaic (PV) systems are among the most used alternatives for electrical power generation from renewable sources. To ensure that PV systems make the most of the available solar energy, maximum power point tracking (MPPT) schemes must be implemented, which usually require voltage and current sensors to track the PV power. This paper presents the design of a robust observer using the Attractive Ellipsoid Method to achieve a precise estimation of PV current under parametric uncertainty and output perturbations. The application of such an observer enables the PV generation system to operate in a current sensorless mode, which reduces the overall cost of the system and enhances its reliability. The convergence of the observer is guaranteed by solving an optimization problem which generates the optimal gains using Linear Matrix Inequalities (LMI). To prove the effectiveness of the proposed sensorless scheme, simulations are performed in Matlab under test profiles based on the EN50530 standard and parameter uncertainty conditions, obtaining an accurate estimation which is used for MPPT operation

Trajectory tracking using Fuzzy-Lyapunov approach: Application to a servo trainer

This paper presents a Fuzzy-Lyapunov approach to design trajectory tracking controllers. This methodology uses a Lyapunov function candidate to obtain the rules of the Mamdani-type fuzzy controllers which are implemented to track a desired trajectory. Two fuzzy controllers are implemented to control the position and velocity of a servo trainer and real time results are presented to evaluate the performance of designed controllers against the performance of classical controller. © 2007 Springer-Verlag Berlin Heidelberg