HOME / PRODUCTION SCIENTIFIQUE / PUBLICATIONS / PUBLICATIONS INTERNATIONALES / ÉQUIPE 3 RM /

Catégorie A RM

Ali, Mallem, Slimane Noureddine, and Benaziza Walid. 2018. “Robust control of mobile robot in presence of disturbances using neural network and global fast sliding mode, ISSN / e-ISSN 1064-1246 / 1875-8967”. Journal of Intelligent And Fuzzy Systems Volume 34 (N° 6) : pp 4345-4354. Publisher's Version Abstract
In this paper a dynamic tracking control of mobile robot using neural network global fast sliding mode (NN-GFSM) is presented. The proposed strategy combines two control approaches, kinematic control and dynamic control. The laws of kinematic control are based on GFSM in order to determine the adequate velocities for the system stability in finite time. The dynamic controller combines two control techniques, the GFSM to stabilize the velocities errors, and a neural network controller in order to approximate a nonlinear function and to deal the disturbances. This dynamic controller allows the robots to follow the desired trajectory even in the presence of disturbances. The designed controller is dynamically simulated by using Matlab/ Simulink and the simulations results show the efficiency and robustness of the proposed control strategy.
Makhloufi, Mohamed Tahar, Abdessemed Yassine, and Khireddine Mohamed Salah. 2016. “An efficient ANN-based MPPT optimal controller of a DC/DC boost converter for photovoltaic systems, ISSN / e-ISSN 0005-1144 / 1848-3380”. Automatika Volume 57 (Issue 1) : Pages 109-119 . Publisher's Version Abstract
In this paper, a simulation study of the maximum power point tracking (MPPT) for a photovoltaic system using an artificial neural network is presented. Maximum power point tracking (MPPT) plays an important role in photovoltaic systems because it maximizes the power output from a PV solar system for all temperature and irradiation conditions, and therefore maximizes the power efficiency. Since the maximum power point (MPP) varies, based on the PV irradiation and temperature, appropriate algorithms must be utilized to track it in order maintain the optimal operation of the system. The software Matlab/Simulink is used to develop the model of PV solar system MPPT controller. The system simulation is elaborated by combining the models established of solar PV module and a DC/DC Boost converter. The system is studied using various irradiance shading conditions. Simulation results show that the photovoltaic simulation system tracks optimally the maximum power point even under severe disturbances conditions.