Mohamed Seghir Boucherit

Adaptive fuzzy control of a class of MIMO nonlinear systems

This paper presents two indirect adaptive fuzzy control schemes for a class of uncertain continuous-time multi-input multi-output nonlinear dynamic systems. Within these schemes, fuzzy systems are employed to approximate the plants unknown nonlinear functions and robustifying control terms are used to compensate for approximation errors. By using a regularized matrix inverse, a stable well-defined adaptive controller is firstly investigated. Then, in order to obtain an adaptive controller not depending upon any parameter initialization conditions and to relax the requirement of bounding parameter values, a second adaptive controller is proposed. All parameter adaptive laws and robustifying control terms are derived based on Lyapunov stability analysis so that, under appropriate assumptions, semi-global stability and asymptotic convergence to zero of tracking errors can be guaranteed. Simulations performed on a two-link robot manipulator illustrate the approach and exhibit its performance.

Modeling and simulation of a gird connected PV generation system with MPPT fuzzy logic control

This paper presents a simulation model of the electric part of a grid connected photovoltaic generation system. The model contains a detailed representation of the main components of the system that are the solar array, and the grid side inverter multilevel inverter Neutral Point Clamped (NPC) VSI. In order to extract the maximum amount of from the photovoltaic generator, we propose an intelligent control method for the maximum power point tracking (MPPT) of a photovoltaic system under variable temperature and insulation conditions. This method uses a fuzzy logic controller. As part of our work, we will focus on voltage inverter at three levels to NPC structure. The latter can increase the voltage supplied to the load (network) through their topology. Thus, they can generate more voltage sinusoidal possible and improve the total harmonic distortion through the high voltage levels provided by the structure of this new converter. The grid interface inverter transfers the energy drawn from the PV module into the grid by keeping common dc voltage constant. The PQ control approach has been presented for the multilevel inverter. The simulation results under Matlab/Simulink show the control performance and dynamic behaviour of grid connected photovoltaic system.

Direct torque control with ANN speed controller based on Kalman filter for PMSM

This paper presents the application of Artificial Neural Network (ANN) based on Kalman filter to replace PI speed controller for PMSM using direct torque control (DTC). Simulation results show that the proposed controller can provide better speed control performance than those obtained by the application of a conventional PI controller.

Robust PID/backstepping control design for permanent magnet synchronous motor drive

This paper presents a new control design procedure for permanent magnet synchronous motor (PMSM) speed drive in the case of unknown load torque. The control law is based on the combination of nonlinear proportional integral derivative (PID) regulators and the backstepping methodology. More precisely, we determine the controllers imposing the current-speed tracking in two recursive steps and by using appropriate PID gains that are nonlinear functions of the system state. Moreover, a frequency domain analysis is done to derive under what conditions PID controllers fulfil the robust mixed sensitivity performance condition when applied to PMSM. A comparative study between the proposed PID/backstepping approach and the feedback linearizing control is made by realistic simulation including load torque change, parametric variations, and measurement noise. The results of current-speed tracking show the effectiveness of the proposed method in the presence of strong disturbances. Finally, a virtual experimental setup is simulated to show the feasibility of our control algorithm in practice.

A CDM-backstepping control with nonlinear observer for electrically driven robot manipulator

This paper presents a CDM-backstepping strategy for motion control of Electrically-driven manipulator under the conditions of uncertainty and the action of external disturbance, while incorporating a nonlinear observer. Based on this model, a systematic analysis and design algorithm is developed to deal with stabilization and trajectory tracking of elbow robot, one feature of this work is employing the backstepping observer to achieve the exponential stability with position and velocity estimations. The results of computer simulations demonstrate that accurate and robust motion control can be achieved by using the proposed approach.

Hybrid Sliding Mode Control of DFIG with MPPT Using Three Multicellular Converters

Abstract This paper deals with hybrid sliding mode control of Doubly Fed Induction Generator DFIG with Maximum Power Point Tracking MPPT connected by rotor side to three bridges of Multicellular Converters MCCs. The hybrid aspect of the converters is taken into consideration which includes the continuous and discrete states of the converters. The vector control is used to command the DFIG speed and reactive stator power. The currents in Park d-q reference are controlled using hybrid sliding mode. The sliding surfaces are developed using Lyapunov stability method. The developed controller allows decoupled control of the stator active and reactive power. The final results are illustrated at the end of this paper to present the advantages of the control method developed in this paper.

Control and Fault Diagnosis Based Sliding Mode Observer of a Multicellular Converter: Hybrid Approach

In this article, the diagnosis of a three cell converter is developed. The hybrid nature of the system represented by the presence of continuous and discrete dynamics is taken into account in the control design. The idea is based on using a hybrid control and an observer-type sliding mode to generate residuals from the observation errors of the system. The simulation results are presented at the end to illustrate the performance of the proposed approach.

Modeling and Control of a Power Electronic Cascade for the Multi DC Bus Supply of a Seven-Level NPC Voltage Source Inverter

The stability problem of the input DC voltages in a seven-level Neutral Point Clamping (NPC) Voltage Source Inverter (VSI) is recalled and illustrated. A first solution involving six controlled-voltage (CV) rectifiers is presented. A knowledge model of this converter using switching functions and a PWM strategy is detailed. For an economic point of view, a second power structure is proposed. It consists in using only 3 CV rectifiers but the instability of intermediary DC voltages is observed. To solve this problem the power structure is modified by adding clamping bridges across capacitors in order to limit their deviations. Additional control functions are then introduced. The obtained results are full of promise to be used to stabilise the input DC voltages of these converters.

Maximum Power Point Tracking Control of Photovoltaic Generation Based on Fuzzy Logic

Global warming and environmental pollution in one hand and the depletion of fossil fuel resources in the coming decades in the other hand are now the two main concerns worldwide. Renewable energies are a solution to replace conventional sources of energy that are polluting and tend to disappear. Photovoltaic energy constitutes among renewable energies that it has the broadest potential of development.

The zipper: A lyapunov control design for parabolic solar collector

One of the most challenging control problems in parabolic solar collector consists in forcing the outlet oil temperature to track a desired reference, due to the complexity of the PDE model governing the temperature evolution in this latter. In this paper, we propose an efficient and elegant method inspired from the functioning principle of the zipper as well as the lyapunov stability theory to reach this aim. To show the efficiency of the proposed method, numerical simulations are done using real system parameters, the obtained results are very satisfactory.