Publications Scientifiques

Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/10

Browse

End date: 2009Subject: search.filters.subject.Induction motor

Search Results

Now showing 1 - 10 of 11
  • No Thumbnail Available
    Item
    Adaptive control of induction motor using artificial neural network with estimation of rotor flux
    (2007) Chetate, Boukhmis; Kabache, Nadir; Ladiguin, Anatoly Nikolaevitch
  • No Thumbnail Available
    Item
    Feedback of the input voltage in FDTC control using a three-level NPC-VSI
    (2007) Zaimeddine, R.; Berkouk, E.M.
    A new control structure for sensorless induction machine dedicated to electrical drives using a three-level voltage source inverter VSI-NPC is completely analysed. The amplitude and the rotating velocity of the flux vector could be controlled freely. Both fast torque and optimal switching logic could be achieved; the selection is based on the value of the stator flux and the torque. A novel DTC scheme of induction motors is proposed in order to develop a suitable dynamic. We proposed a DTC approach based in fuzzy logic, in witch the response of torque and flux is enhanced trough optimal switching strategies and torque ripple minimisation is achieved. However, the middle point voltage of the input DC voltages of the three-level NPC voltage source inverter presented serious problems caused by a fluctuation of the DC voltage sources UCU, UCL. As consequence to these problems, we obtained an output voltage of the inverter, which is asymmetric and with an average value different from zero. We presented one solution to minimise this fluctuation. This solution used a feedback to regulate the input voltages of a three-level inverter VSI NPC. A scheme of a fuzzy direct torque control "FDTC" with complete cascade is simulated for an induction motor. The results obtained indicate superior performance over the FOC one without need to any mechanical sensor
  • No Thumbnail Available
    Item
  • No Thumbnail Available
    Item
    A new diagnostic method of faulty transistor in a three-phase inverter
    (Istanbul University - Journal of Electrical and Electronics Engineering, 2007) Tarak, B.; Boukhmis, C.
    This paper describes a method of detection and identification of transistor base drive open-circuit fault of 3-phase voltage source inverter (VSI), feeding an open loop controlled induction motor. The detection mechanism is based on a novel technique of wavelet transform. In this method, the stator currents will be used as an input to the system. No direct access to the induction motor is required. The simulation results are presented
  • No Thumbnail Available
    Item
    A scheme of EDTC control using a three-level voltage source inverter for an induction motor
    (2007) Zaimeddine, R.; Berkouk, E.M.; Refoufi, L.; Bousalah, M.
    The object of this paper is to study a new control structure for sensorless induction machine dedicated to electrical drives using a three-level voltage source inverter (VSI). The amplitude and the rotating speed of the flux vector can be controlled freely. Both fast torque response and optimal switching logic can be achieved; the selection is based on the value of the stator flux and the torque. A novel DTC scheme of induction motors is proposed in order to develop a suitable dynamic. We propose an approach; in wich we enhance the response of torque and flux with optimal switching strategies. However, the middle point voltage of the input DC voltages of the three-level NPC voltage source inverter presents serious problems caused by a fluctuation of the DC voltage sources UcU, UcL. As consequence to these problems, we obtain an output voltage of the inverter which is asymmetric and with an average value different from zero. In this paper, we will present one solution to minimise this fluctuation. This solution uses a clamping bridge to regulate the input voltages of a three-level inverter VSI NPC. A scheme of Enhanced direct torque control "EDTC" with complete cascade is simulated for an induction motor. The results obtained indicate superior performance over the FOC one without need to any mechanical sensor
  • No Thumbnail Available
    Item
    Reliability assessment and improvement of large power induction motor winding insulation protection system using predictive analysis
    (2008) Chafai, Mahfoud; Refoufi, Larbi; Bentarzi, Hamid
    The paper presents a reliability assessment of a widely used protection system of large power squirrel cage induction motors. In conjunction with published field induction motors Failure data this assessment effort is based on a integrated predictive analysis using three methods: (1) a Fault Tree Analysis (FTA) that allows to identify and then quantify the initiating failure cause weighting factors; (2) an Event Tree Analysis (ETA) that allows to predict the protection system probability outcomes following an external disturbance and (3) a Failure Mode Effect and Criticality Analysis (FMECA) that will help set the stage for developing a preventive maintenance program fit to keep up the induction motor protection system reliability at the required level with particular attention given to aggressive environmental factors such as found in cement plants
  • No Thumbnail Available
    Item
    A new diagnostic method of faulty transistor in a three-phase inverter
    (2006) Benslimane, Tarak; Chetate, Boukhmis
    This paper describes a method of detection and identification of transistor base drive open-circuit fault of 3-phase voltage source inverter (VSI), feeding an open loop controlled induction motor. The detection mechanism is based on a novel technique of wavelet transform. In this method, the stator currents will be used as an input to the system. No direct access to the induction motor is required. The simulation results are presented
  • No Thumbnail Available
    Item
    A method of minimizing the power losses in an induction motor with a squirrel-cage with vector control
    (2004) Chetate, Boukhmis; Kheldoun, Aissa
    An approach to optimizing the flux linkage of the rotor of an induction motor is considered when the motor operates in a vector control mode with indirect orientation in the direction of the field. In this system, the expression for the frequency of the rotor e.m.f. contains the rotor winding impedance; this impedance must therefore be precisely estimated in real time. It is proposed that this should be done using a fuzzy-logic adaptation mechanism. The results of using such a mechanism in a physical model confirm its effectiveness. Key words: induction motor, rotor, vector control, fuzzy logic
  • No Thumbnail Available
    Item
    An improved direct torque control strategy for induction motor drive
    (2007) Zaimeddine, R.; Refoufi, L.; Berkouk, E.M.
    The object of this study is to study a new control structure for sensorless induction machine dedicated to electrical drives using a three-level Voltage Source Inverter (VSI). The major problem with DTC drives is the high torque ripple, to solve this problem two approaches are proposed to replace the conventional hysteresis-based controller. The output voltages of the three-level VSI can be represented by four groups: the zero voltage vectors, the small voltage vectors, the middle voltage vectors and the large voltage vectors in (d, q) plane. Then, the amplitude and the rotating velocity of the flux vector can be controlled freely. Both fast torque and optimal switching logic can be obtained. The selection is based on the value of the stator flux and the torque. Both approaches are simulated for a induction motor. The results obtained show superior performances over the conventional DTC one without need to any mechanical sensor
  • No Thumbnail Available
    Item
    Implementation of a fuzzy logic system to tune a PI controller applied to an induction motor
    (2009) Laroussi, K.; Zelmat, M.; Rouff, M.
    The simplicity of traditional regulators makes them popular and the most used solution in the nowadays industry. However, they suffer from some limitations and cannot deal with nonlinear dynamics and system parameters variation. In the literature, several strategies of adaptation are developed to alleviate these limitations. In this paper, we propose a combination of two strategies for PI parameters supervision and adaptation. We apply the obtained structure to the control of induction machine speed. Simulation and experimental results of the proposed schema show good performances as compared to two strategies