Équipe 3 RM

Walid, Benaziza, Slimane Noureddine, and Mallem Ali. 2018. “Disturbances Elimination with Fuzzy Sliding Mode Control for Mobile Robot Trajectory Tracking, ISSN / e-ISSN 1336-1376 / 1804-3119”. Advances in Electrical and Electronic Engineering Volume 16 (N° 3) : pp 297-310. Publisher's Version Abstract
The disturbances are the significant issue for the trajectory tracking of mobile robots. Therefore, an adequate control law is presented in this paper and this one is based on Global Terminal Sliding Mode (GTSM) with fuzzy control. This control law aims to guarantee the avoidance of the kinematic disturbances which are injected in the angular and linear velocities, respectively. Moreover, the dynamic model based on exponential reaching law is presented to avoid the uncertainties. The control law provides the asymptotic stability by taking into account the fuzzy rules and Lyapunov theory. Thus, the chattering phenomenon should be avoided. The simulation works prove the robustness of the proposed control law by considering the disturbances function and the robot can follow the desired trajectories.
Walid, Benaziza, Slimane Noureddine, and Ali Mallem. 2018. “PD Terminal Sliding Mode Control Using Fuzzy Genetic Algorithm for Mobile Robot in Presence of Disturbances, ISSN / e-ISSN 1897-8649 / 2080-2145”. Journal of automation, Mobile robotics &intelligent systems Volume 12 (N°2) : pp 52-60 . Publisher's Version Abstract
This paper presents a new approach in the field of trajectory tracking for nonholonomic mobile robot in presence of disturbances. The proposed control design is constructed by a kinematic controller, based on PD sliding surface using fuzzy sliding mode for the angular and linear velocities disturbances, in order to tend asymptotically the robot posture error to zero. Thereafter a dynamic controller is presented using as a sliding surface design, a fast terminal function (FTF) whose parameters are generated by a genetic algorithm in order to converge the velocity errors to zero in finite time and guarantee the asymptotic stability of the system using a Lyapunov candidate. The elaborated simulation works in the case of different trajectories confirm the robustness of the proposed approach.
Ali, Medjghou, Slimane Noureddine, and Chafaa Kheireddine. 2018. “Fuzzy sliding mode control based on backstepping synthesis for unmanned quadrotors, ISSN / e-ISSN 1336-1376 / 1804-3119”. Advances in Electrical and Electronic Engineering volume 16 (issue 2) : pp 135-146. Publisher's Version Abstract
The main purpose of this paper is to integrate fuzzy logic technique and backstepping synthesis to sliding mode control to develop a Fuzzy Backstepping-Sliding Mode Controller (FBSMC) to resolve the problem of altitude and attitude tracking control of unmanned quadrotor systems under large external disturbances. First, a backstepping-sliding mode control for quadrotor is introduced. Moreover, a fuzzy logic system is employed to adapt the unknown switching gains to eliminate the chattering phenomenon induced by switching control on the conventional Backstepping-Sliding Mode Controller (BSMC). The dynamical motion equations are obtained by Euler-Newton formalism. The stability of the system is guaranteed in the sense of the Lyapunov stability theorem. Simulation results are carried out using Matlab/Simulink environment to illustrate the effectiveness and robustness of the proposed controller.
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.
Chafik, Arar, and Khireddine Mohamed Salah. 2016. “An Efficient Fault-Tolerant Multi-Bus Data Scheduling Algorithm Based on Replication and Deallocation, ISSN / e- ISSN 1311-9702 / 1314-4081”. Cybernetics and Information Technologies Volume 16 (N° 2). Publisher's Version Abstract
The paper proposes a new reliable fault-tolerant scheduling algorithm for real-time embedded systems. The proposed scheduling algorithm takes into consideration only one bus fault in multi-bus heterogeneous architectures, caused by hardware faults and compensated by software redundancy solutions. The proposed algorithm is based on both active and passive backup copies, to minimize the scheduling length of data on buses. In the experiments, this paper evaluates the proposed methods in terms of data scheduling length for a set of DAG benchmarks. The experimental results show the effectiveness of our technique.
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