Joseph Haggège

Modeling and SIL simulation of a Tidal Stream device for marine energy conversion

This paper deals with the development and simulation of a MATLAB/Simulink model of a Tidal Stream Converter (TSC) to be installed in the breakwater at the harbour of Mutriku on the Basque coast in Spain. The developed model is that of a three-bladed tidal turbine connected to a Doubly Fed Induction Generator (DFIG) for marine energy convertion. A Software-In-the-Loop (SIL) simulation of the established TSC model has been investigated using the NI VeriStand tool. This is achieved in order to prepare for the Hardware-In-the-Loop (HIL) implementation of the studied marine energy converter based on an NI Compact RIO real-time target. All simulation results, obtained by MATLAB/Simulink within a Model-In-the Loop (MIL) simulation framework and by NI VeriStand within SIL simulation one, are analyzed and compared in order to validate the developed TSC model.

Terminal Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle

This chapter deals with the modeling and the control of a Quadrotor type of Unmanned Aerial Vehicles (UAVs) using a Terminal Sliding Mode Control (TSMC) approach. The objectives of this proposed nonlinear control strategy are the stabilization and path tracking of the altitude and the attitude of such an aircraft. The TSMC structure is designed to overcome several problems occur with the classical SMC one such as the chattering phenomenon. With this TSMC approach, it is guaranteed that the output tracking error converges to zero in a finite time unlike the classical SMC. The main structural difference between all proposed SMC structures, i.e. classical and terminal variants, is defined at the sliding surface form that determines the states dynamics of the controlled Quadrotor by chosen the suitable parameters of this surface. High performances of the proposed TSMC controllers are showed through the tracking of a desired flight path. Demonstrative simulation results are carried out in order to show the effectiveness of the proposed normal SMC and TSMC approaches.

Co-simulation and rapid prototyping of fuzzy supervised PID controllers based on FPGA-Nexys2 board

In this paper, a new CAD methodology for the Processor-In-the-Loop (PIL) co-simulation and rapid prototyping of fuzzy supervised PID controllers is proposed and successfully implemented using the FPGA-based SPARTAN-3E board and a host PC. The developed software (SW) and hardware (HW) co-design platform is based on the Xilinx System Generator (XSG) interface of MATLAB/Simulink and the Xfuzzy/Xfvhdl tool. The designed fuzzy supervised PID controller, described by its generated VHDL description under Xfvhdl workflow of Xfuzzy software, is implemented as a MATLAB/XSG model. This hardware model will be deployed on the FPGA-based Nexys2 target within a PIL co-simulation framework. The proposed FPGA-based CAD fuzzy supervision approach is applied to a DC motor speed control. All obtained SW/HW co-simulation results are compared and discussed in order to improve the effectiveness of the proposed fuzzy co-design methodology.

Modeling and MPPT control of a Tidal stream generator

This paper deals with the design, modeling and control of a Tidal Stream Generator (TSG) system including a tidal turbine, a rotor shaft and a Doubly Fed Induction Generator (DFIG). Below high tidal speed the system is regulated so that for every tidal velocity reaches the maximum power. A rotational speed control based-Maximum Power Point Tracking (MPPT) for a TSG is investigated to provide the suitable rotational speed to the system in order to track the maximum power and thus keeping the pitch angle null. Two study cases were proposed to test the performance of the control strategy. The obtained results show that the proposed control provide satisfactory tracking of the MPPT reference.

Chattering Free Sliding Mode Controller Design for a Quadrotor Unmanned Aerial Vehicle

In this paper, a nonlinear model for a Quadrotor Vertical Take-Off and Landing (VTOL) type of Unmanned Aerial Vehicles (UAVs) is firstly established for the attitude and position control. All aerodynamic forces and moments of the studied Quadrotor UAV are described within an inertial frame. Such a dynamical model is obtained using the Newton-Euler formalism. Secondly, an improved nonlinear Sliding Mode Control (SMC) approach is designed for this aircraft in order to stabilize its vertical flight dynamics, while avoiding the classical chattering problem. Since chattering phenomena is the most problematic issue in the sliding mode control applications, a Quasi Sliding Mode Control (QSMC) technique is used as a solution for the chattering avoidance in Quadrotor dynamics control. Demonstrative simulations are carried out in order to show the effectiveness of the proposed QSMC approach for the stabilization and tracking of various desired trajectories.

Modeling and neural networks based control of power converters associated with a wind turbine

This paper is about modelling and simulating PWM power converters that are associated with wind turbine. As a first step, studies of power converters and Space Vector based Pulse Width Modulation (SVPWM) are presented. Thereafter, MATLAB/SIMULINK are used as a platform for the simulations and a SIMULINK model is presented in the paper. Lastly, a new Space Vector based Pulse Width Modulation control technique based on neural network is developed in order to test its performances for the back-to-back converter, which are the reduction of harmonic components and regulation of the power factor. According to simulation results, we could validate the developed control technique and compare it with the classical SVPWM.

New Lyapunov function for Takagi-Sugeno discrete time uncertain systems

This paper investigates the influence of a new Lyapunov function on the feasible area of stabilization for a discrete-time Takagi-Sugeno (T-S) fuzzy parametric uncertain systems. Using a new nonquadratic Lyapunov function, a new sufficient stabilization criterion is established in terms of linear matrix inequality (LMIs). The used approach combines together the states feedback with non-PDC control law to give a stabilization condition for uncertain system. The robustness of the proposed approach have been illustrated via numeric simulation.