Nonlinear control of a grid connected hybrid energetic systems (HES) based on photovoltaic-fuel cells distributed power generation systems

This paper presents a discrete-time integral sliding mode control for a grid connected hybrid energetic systems (HES) based on photovoltaic-Solid oxide fuel cell (SOFC) for distributed power generation systems. The proposed HES systems employ solid oxide fuel cell (SOFC) and photovoltaic panels as main sources, supercapacitors as complementary sources, and controlled DC-DC boost converter and three levels NPC inverter. A maximum power point tracking (MPPT) control is used in order to maximize the power of the photovoltaic system. The proposed control consists of a power management grid interface inverter transferring the energy from the hybrid sources into the grid by controlling the main utility grid and the common DC voltage active and reactive power. The obtained simulation results show the effectiveness and robustness of the proposed control strategy. Keywords: Hybrid Energetic Systems (HES), Solid Oxide Fuel Cell (SOFC), Photovoltaic (PV), Sliding Mode Control, Maximum Power Point Tracking (MPPT), Grid power management

Stability analysis of the extended Kalman filter for Permanent Magnet Synchronous Motor

This paper presents a sensorless direct field oriented control fed interior permanent magnet synchronous motor (IPMSM) by using a known mathematical tool. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. It is a question of studying the state and measurement noise covariance matrices Q and R on the stability of the Extended Kalman Filter. This last is used for the d, q stator current, mechanical speed, rotor position, stator resistance and the load torque estimation. The simulation tests carried out on Matlab Simulink showed that the matrix R improves much more quality of the estimated states while the matrix Q allows the improvement of the estimation process convergence

Contribution à la commande mode glissant - floue sans capteur des machines électriques triphasées "Application au moteur synchrone à aimants permanents"

Le travail présenté dans cette thèse porte essentiellement sur la comparaison entre trois différents types de commande sans capteurs mécaniques de vitesse et de position d'une machine synchrone à aimants permanents MSAP. L'inconvénient des commandes vectorielles utilisant des PI présenté par les dérives paramétriques sur son modèle de connaissance peut être surmonté à travers l'utilisation des commandes dites robustes. Les commandes structures variables et à mode glissant-floue donnent des résultats acceptables en terme de robustesse, rejection de la perturbation de la charge, inversion du sens de rotation avec une supériorité remarquable de la CSV

Stability analysis of the extended Kalman filter for Permanent Magnet Synchronous Motor Stability analysis of the extended Kalman filter for Permanent Magnet Synchronous Motor

International audienceThis paper presents a sensorless direct field oriented control fed interior permanent magnet synchronous motor (IPMSM) by using a known mathematical tool. The Kalman filter is an observer for linear and non-linear systems and is based on the stochastic intromission, in others words, noise. It is a question of studying the state and measurement noise covariance matrices Q and R on the stability of the Extended Kalman Filter. This last is used for the d, q stator current, mechanical speed, rotor position, stator resistance and the load torque estimation. The simulation tests carried out on Matlab Simulink showed that the matrix R improves much more quality of the estimated states while the matrix Q allows the improvement of the estimation process convergence. Keywords Permanent magnet synchronous machine Direct filed oriented control Extended Kalman filter Estimatio