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| 1 | Contribution of the FPGAs for Complex Control Algorithms: Sensorless DTFC with an EKF of an Induction Motor显示文摘In a conventional direct torque control(CDTC) of the induction motor drive, the electromagnetic torque and the stator flux are characterized by high ripples. In order to reduce the undesired ripples, several methods are used in the literature. Nevertheless,these methods increase the algorithm complexity and dependency on the machine parameters such as the space vector modulation(SVM). The fuzzy logic control method is utilized in this work to decrease these ripples. Moreover, to eliminate the mechanical sensor the extended kalman filter(EKF) is used, in order to reduce the cost of the system and the rate of maintenance. Furthermore, in the domain of controlling the real-time induction motor drives, two principal digital devices are used such as the hardware(FPGA) and the digital signal processing(DSP). The latter is a software solution featured by a sequential processing that increases the execution time. However, the FPGA is featured by a high processing speed because of its parallel processing. Therefore, using the FPGA it is possible to implement complex algorithms with low execution time and to enhance the control bandwidth. The large bandwidth is the key issue to increase the system performances. This paper presents the interest of utilizing the FPGAs to implement complex control algorithms of electrical systems in real time. The suggested sensorless direct torque control using the fuzzy logic(DTFC) of an induction motor is successfully designed and implemented on an FPGA Virtex 5 using xilinx system generator. The simulation and implementation results show proposed approach s performances in terms of ripples, stator current harmonic waves, execution time, and short design time. | Saber Krim Soufien Gdaim Abdellatif Mtibaa Mohamed Faouzi Mimouni | 2019 | International Journal of Automation and computing2019，16，2： | 3 |
| 2 | Grey Wolf Optimization Based Tuning of Terminal Sliding Mode Controllers for a Quadrotor显示文摘The research on Unmanned Aerial Vehicles(UAV)has intensified considerably thanks to the recent growth in the fields of advanced automatic control,artificial intelligence,and miniaturization.In this paper,a Grey Wolf Optimization(GWO)algorithm is proposed and successfully applied to tune all effective parameters of Fast Terminal Sliding Mode(FTSM)controllers for a quadrotor UAV.A full control scheme is first established to deal with the coupled and underactuated dynamics of the drone.Controllers for altitude,attitude,and position dynamics become separately designed and tuned.To work around the repetitive and time-consuming trial-error-based procedures,all FTSM controllers’parameters for only altitude and attitude dynamics are systematically tuned thanks to the proposed GWO metaheuristic.Such a hard and complex tuning task is formulated as a nonlinear optimization problem under operational constraints.The performance and robustness of the GWO-based control strategy are compared to those based on homologous metaheuristics and standard terminal sliding mode approaches.Numerical simulations are carried out to show the effectiveness and superiority of the proposed GWO-tuned FTSM controllers for the altitude and attitude dynamics’stabilization and tracking.Nonparametric statistical analyses revealed that the GWO algorithm is more competitive with high performance in terms of fastness,non-premature convergence,and research exploration/exploitation capabilities. | Rabii Fessi Hegazy Rezk Soufiene Bouallègue | 2021 | Computers, Materials & Continua2021，，8： | 1 |
| 3 | Mitigating Packet Dropping Problem in Mobile Ad Hoc Networks: Proposals and Challenges显示文摘 | Soufiene D | 2011 | IEEE Communications Surveys & Tutorials2011，13，4： | 1 |
| 4 | Prevalence of Bordetella pertussis and Bordetella parapertussis infections in Tunisian hospitalized infants: results of a 4-year prospective study显示文摘 | Asma Zouari Hanen Smaoui Delphine Brun Elisabeth Njamkepo Soufien Sghaier Emna Zouari Renaud Félix Khaled Menif Najla Ben Jaballah Nicole Guiso Amel Kechrid | 2012 | Diagnostic Microbiology & Infectious Disease2012，，4： | 1 |
| 5 | Characteri-zing the greedy behavior in wireless ad hoc networks显示文摘 | Soufiene Djahel Farid Nal¨t-abdesselam Damla Turgut | 2010 | Securityand Communication Networks2010，4，3： | 1 |
| 6 | Toward Energy-Efficient and Trustworthy eHealth Monitoring System显示文摘The rapid technological convergence between Internet of Things(IoT),Wireless Body Area Networks(WBANs)and cloud computing has made e-healthcare emerge as a promising application domain,which has significant potential to improve the quality of medical care.In particular,patient-centric health monitoring plays a vital role in e-healthcare service,involving a set of important operations ranging from medical data collection and aggregation,data transmission and segregation,to data analytics.This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components.More detailed discussions are then devoted to {\em data collection} at patient side,which we argue that it serves as fundamental basis in achieving robust,efficient,and secure health monitoring.Subsequently,a profound discussion of the security threats targeting eHealth monitoring systems is presented,and the major limitations of the existing solutions are analyzed and extensively discussed.Finally,a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes,along with some potential solutions. | Ajmal Sawand Soufiene Djahel Zonghua Zhang Farid Na?t-Abdesselam | 2015 | China Communications2015，12，1： | 1 |
| 7 | Numerical Study of the Effect of Blockage on Critical Velocity and Back Layering Length in Longitudinally Ventilated Tunnel Fires显示文摘 | Gannouni Soufien Maad Rejeb Ben | 2015 | Tunnelling and Underground Space Technology2015，48，： | 1 |
| 8 | Control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm显示文摘This work presents a memetic Shuffled Frog Leaping Algorithm(SFLA)based tuning approach of an Integral Sliding Mode Controller(ISMC)for a quadrotor type of Unmanned Aerial Vehicles(UAV).Based on the Newton–Euler formalism,a nonlinear dynamic model of the studied quadrotor is firstly established for control design purposes.Since the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law,which are usually selected by repetitive and time-consuming trials-errors based procedures,a constrained optimization problem is formulated for the systematically tuning of these unknown variables.Under time-domain operating constraints,such an optimization-based tuning problem is effectively solved using the proposed SFLA metaheuristic with an empirical comparison to other evolutionary computation-and swarm intelligence-based algorithms such as the Crow Search Algorithm(CSA),Fractional Particle Swarm Optimization Memetic Algorithm(FPSOMA),Ant Bee Colony(ABC)and Harmony Search Algorithm(HSA).Numerical experiments are carried out for various sets of algorithms’parameters to achieve optimal gains of the sliding mode controllers for the altitude and attitude dynamics stabilization.Comparative studies revealed that the SFLA is a competitive and easily implemented algorithm with high performance in terms of robustness and non-premature convergence.Demonstrative results verified that the proposed metaheuristicsbased approach is a promising alternative for the systematic tuning of the effective design parameters in the integral sliding mode control framework. | Nour Ben Ammar Hegazy Rezk Soufiene Bouallègue | 2021 | Computers, Materials & Continua2021，，6： | 0 |
| 9 | Path Planning of Quadrotors in a Dynamic Environment Using a Multicriteria Multi-Verse Optimizer显示文摘Paths planning of Unmanned Aerial Vehicles(UAVs)in a dynamic environment is considered a challenging task in autonomous flight control design.In this work,an efficient method based on a Multi-Objective MultiVerse Optimization(MOMVO)algorithm is proposed and successfully applied to solve the path planning problem of quadrotors with moving obstacles.Such a path planning task is formulated as a multicriteria optimization problem under operational constraints.The proposed MOMVO-based planning approach aims to lead the drone to traverse the shortest path from the starting point and the target without collision with moving obstacles.The vehicle moves to the next position from its current one such that the line joining minimizes the total path length and allows aligning its direction towards the goal.To choose the best compromise solution among all the non-dominated Pareto ones obtained for compromise objectives,the modified Technique for Order Preference by Similarity to Ideal Solution(TOPSIS)is investigated.A set of homologous metaheuristics such as Multiobjective Salp Swarm Algorithm(MSSA),Multi-Objective Grey Wolf Optimizer(MOGWO),Multi-Objective Particle Swarm Optimization(MOPSO),and Non-Dominated Genetic Algorithm II(NSGAII)is used as a basis for the performance comparison.Demonstrative results and statistical analyses show the superiority and effectiveness of the proposed MOMVO-based planning method.The obtained results are satisfactory and encouraging for future practical implementation of the path planning strategy. | Raja Jarray Mujahed Al-Dhaifallah Hegazy Rezk Soufiene Bouallègue | 2021 | Computers, Materials & Continua2021，，11： | 0 |
| 10 | Fractional-Order Control of a Wind Turbine Using Manta Ray Foraging Optimization显示文摘In this research paper,an improved strategy to enhance the performance of the DC-link voltage loop regulation in a Doubly Fed Induction Generator(DFIG)based wind energy system has been proposed.The proposed strategy used the robust Fractional-Order(FO)Proportional-Integral(PI)control technique.The FOPI control contains a non-integer order which is preferred over the integer-order control owing to its benefits.It offers extra flexibility in design and demonstrates superior outcomes such as high robustness and effectiveness.The optimal gains of the FOPI controller have been determined using a recent Manta Ray Foraging Optimization(MRFO)algorithm.During the optimization process,the FOPI controller’s parameters are assigned to be the decision variables whereas the objective function is the error racking that to be minimized.To prove the superiority of the MRFO algorithm,an empirical comparison study with the homologous particle swarm optimization and genetic algorithm is achieved.The obtained results proved the superiority of the introduced strategy in tracking and control performances against various conditions such as voltage dips and wind speed variation. | Hegazy Rezk Mohammed Mazen Alhato Mohemmed Alhaider Soufiene Bouallègue | 2021 | Computers, Materials & Continua2021，，7： | 0 |
| 11 | Lattice Boltzmann Simulation of Mixed Convection Heat Transfer in a Driven Cavity with Non-uniform Heating of the Bottom Wall显示文摘The goal of this article is to study numerically the mixed convection in a differentially heated lid-driven cavity with non-uniform heating of the bottom wall. The velocity field is solved by a hybrid scheme with multiple relaxation time Lattice Boltzmann(MRT-LBM) model, while the temperature field is obtained by resolution of the energy balance equation using the finite difference method(FDM). First, the model is checked and validated using data from the literature. Validation of the present results with those available in the literature shows a good agreement.A good efficiency in time simulation is confirmed. Thereafter, the model has been applied to mixed convection in a driven cavity with non-uniform heating wall at the fixed Grashof number Gr = 106. It is found that, the heat transfer is weakened as the Richardson number is augmented. For Gr = 106, we note the appearance of secondary vortices at different positions of the cavity corners. | Soufiene Bettaibi Ezeddine Sediki Frdric Kuznik Sauro Succi | 2015 | Communications in Theoretical Physics2015，63，1： | 0 |
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