Browsing by Author "Medjghou, Ali"

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    Improved Sliding Mode Controller Using Backstepping and Fuzzy Logic for a Quadrotor Aircraft
    (University of Eloued جامعة الوادي, 2018-12-10) Aoun, Yacine; Medjghou, Ali; Maaoui, Bedreddine; Slimane, Noureddine
    In this work, a new robust nonlinear controller is presented in presence of large external disturbances for a quadrotor aircraft. The controller is based on an improved sliding mode control. The improvement is done by adding two other terms, one is a backstepping synthesis and the other one is a fuzzy logic term in order to reduce the chattering phenomenon and achieve more acceptable performance. The dynamical motion equations are obtained by Euler-Newton formalism. Lyapunov theorem is used to prove the stability of control system. A simulation is carried out to illustrate the effectiveness of the proposed control
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    Robotic Manipulator State Estimation using Optimized Extended Kalman Filter
    (University of Eloued جامعة الوادي, 2018-12-10) Medjghou, Ali; Aoun, Yacine; Ghanai, Mouna; Chafaa, Kheireddine
    This paper presents a novel application of Biogeography-Based Optimization (BBO) to optimize the extended Kalman filter (EKF) in order to achieve high performance estimation of states. The parameters to be optimized in an off-line manner are the covariance matrices of state and measurement noises Q and R, respectively. The optimal values of the above covariance matrices are injected into EKF in an on-line manner to estimate states. The suggested approach is demonstrated using a computer simulation of two-link manipulator. Finally, simulations and comparison with particle swarm optimization (PSO) show the effectiveness of proposed method, and exhibit a more superior performance than its conventional counterpart. Index Terms—Biogeography-based optimization, particle swarm optimization, extended Kalman filter, states estimation, two-link manipulator.