Commande DTC deux niveaux sans vecteurs nuls basée sur les régulateurs hystérésis neuronale de la machine à induction

International audienceThe work presented in this paper concerns direct torque control based on neural hysteresis regulators of a two-level inverter-fed asynchronous machine. We have replaced the classical hysteresis regulators with the new hysteresis regulators based on neural networks (ANN). The performance of DTC with neural hysteresis regulators is analyzed in comparison with conventional DTC. The simulation results obtained showed very satisfactory behavior of the machine.Le travail présenté dans cet article concerne la commande directe du couple basée sur les régulateurs hystérésis neuronale de la machine asynchrone alimentée par onduleur à deux niveaux. Nous avons remplacé les régulateurs hystérésis classique par les nouveaux régulateurs hystérésis basée sur les réseaux de neurones(RNA). Les performances de la DTC avec régulateurs hystérésis neuronale sont analysées sur la base comparaison avec la DTC classique. Les résultats de simulations obtenus ont montré un comportement très satisfaisant de la machine

New modified CHB multilevel inverter topology with elimination of lower and higher order harmonics

The main objective of this study is the improvement of output voltage waveform quality generated by a new modified Cascaded H-bridge (CHB) multilevel inverter using Selective Harmonic Elimination (SHE) method and passive LC filters. A PWM technique with SHE is used to control fundamental harmonic and eliminate harmonics of chosen lower-order in CHB multilevel inverter. A passive LC filter is added to the inverter in order to eliminate the high-order harmonics. The switching angles are drawn by solving a non-linear equations system using Hybrid Genetic Algorithm (HGA). In order to evaluate the performance of the HGA in solving the non-linear equations of the system presented in this study, the proposed optimization algorithm was compared to the well-known particle swarm optimization method. Different cases including 5- and 7-level inverters with different values of modulation indices are reported. The simulation findings are validated through experimental results

Model references frequency-domain design based fractional order PD controller for quadrotor control: attitude, altitude, and position studies

AbstractThis article proposes a control strategy based on a Fractional Order Proportional Derivative (FOPD) controller to enhance the performance and robustness of quadrotors operating in trajectory tracking mode. The tuning method proposed for the FOPD controller is based on an ideal Bode transfer function in a closed loop as a fractional reference model. The latter represents the quadrotor desired closed-loop response, and its specification is the key design decision. In this study, we first appropriately set model reference parameters to realistic desired time response characteristics (i.e. overshoot and time constant). Then, the parameters of the FOPD controller are computed using the direct synthesis design approach. The dynamic model of the quadrotor is developed using Lagrange formulation. The model is used to test the performance of the proposed FOPD-based control strategy for the attitude, position, and altitude of the flying robot. The results show that the proposed controller achieved accurately set points tracking with transient responses (i.e. overshoot and time constant) that satisfactorily meet those assigned for their respective reference models. These results validate the effectiveness of our proposed control strategy. Moreover, our comparative studies of the proposed FOPD controller with the conventional PD controller show that the former satisfies better-desired design requirements

An improved INC-MPPT algorithm based on passivity approach for photovoltaic system

International audienceNew robust algorithm of Maximum Power Point Tracking (MPPT) for an extraction system solar energy by photovoltaic effect is tackled in this paper. Indeed, the algorithms available today, suffer from non-robustness against climate change as well as system settings. This requires a deep study of the simulation of a robust controller system. Therefore, it is proposed, the Interconnection and Damping Assignment Passivity Based Control (IDA-PBC) application for maximum power point tracking (MPPT), which shows its efficiency and robustness compared to other methods (such as Incremental Conduction), as fast and the decrease against climate perturbations and variationsof system parameters

A Comparative Study Between Sliding Mode Control (SMC) and Hybrid Control Fuzzy Sliding Mode (FSMC) for Induction Motor

International audienceThis paper presents a comparative study between twocommand strategies : control by sliding mode (CMS) and thehybrid control Fuzzy sliding mode (FSMC). The sliding modecontroller is applied to an induction motor which offered us aninsensitivity to parameter variations. However this control lawhas a disadvantage of the ‘chattering’ phenomenon. To remedythis problem, we combined the sliding mode control with thefuzzy logic control that the advantages of both strategies areincluded. The application of this controller gave as a gooddynamic, insensitivity to parameter variations and an eliminationof the torque chattering, demonstrated by the simulation results.The comparison of simulated results show that the hybrid controlFuzzy sliding mode (FSMC) is more robust and effective inminimizing the detuning effect in the drive due to parametervariations and model uncertainties

An improved INC-MPPT algorithm based on passivity approach for photovoltaic system

International audienceNew robust algorithm of Maximum Power Point Tracking (MPPT) for an extraction system solar energy by photovoltaic effect is tackled in this paper. Indeed, the algorithms available today, suffer from non-robustness against climate change as well as system settings. This requires a deep study of the simulation of a robust controller system. Therefore, it is proposed, the Interconnection and Damping Assignment Passivity Based Control (IDA-PBC) application for maximum power point tracking (MPPT), which shows its efficiency and robustness compared to other methods (such as Incremental Conduction), as fast and the decrease against climate perturbations and variationsof system parameters

A Comparative Study Between Sliding Mode Control (SMC) and Hybrid Control Fuzzy Sliding Mode (FSMC) for Induction Motor

International audienceThis paper presents a comparative study between twocommand strategies : control by sliding mode (CMS) and thehybrid control Fuzzy sliding mode (FSMC). The sliding modecontroller is applied to an induction motor which offered us aninsensitivity to parameter variations. However this control lawhas a disadvantage of the ‘chattering’ phenomenon. To remedythis problem, we combined the sliding mode control with thefuzzy logic control that the advantages of both strategies areincluded. The application of this controller gave as a gooddynamic, insensitivity to parameter variations and an eliminationof the torque chattering, demonstrated by the simulation results.The comparison of simulated results show that the hybrid controlFuzzy sliding mode (FSMC) is more robust and effective inminimizing the detuning effect in the drive due to parametervariations and model uncertainties