Krim Yazid

A new decoupling approach using the Fuzzy Logic In the vector control block of the single-phase induction machine

The single-phase induction machine (SPIM) has the advantage of being powered by a single-phase voltage source. The availability of this power allows it to be widely used: electric household appliances, portable machine tools... However, this type of machine has not yet taken its whole share from various works present until now, in comparison with the three-phase induction machine. With the object of contributing to the study of this machine, we propose in this article a new decoupling approach in the vector control block, based on the the Fuzzy Logic; in order to solve the problem of decreasing the rotor flux. Indeed, the vector control of single phase induction machine using conventional decoupling approaches has a remarkable decrease of rotor flux when the machine is powered by a real voltage source inverter (VSI). For three different decoupling approaches with two types of supply: perfect voltage source and real voltage source inverter; a comparative study through numerical simulations is presented. The simulation results show the feasibility and good performance obtained by the proposed approach.

Application of EKF to parameters estimation for speed sensorless vector control of two-phase induction motor

The two-phase induction machine (TPIM) is widely used in many light-duty applications were three-phase supply is not readily available also a two phases symmetrical or unsymmetrical can be shift auxiliary winding. Therefore, in the indirect field oriented control, the rotor circuit time constant is an important parameter. Incorrect estimation of the rotor time constant also leads to incorrect flux angle calculations and can cause significant performance deterioration if no means for compensation or identification is applied. The magnetic saturation, the operating temperature and difficulties in using sensors for speed measurement are one of the sources of parameters variations, caused by non-linear nature of the magnetizing curve and the variations of the rotor resistance. The classical indirect field-oriented control is highly sensitive to the inductance values decrease when increasing the saturation level. To solve this problem, the extended Kalman Filter associated to the two-phase PWM inverter generates a voltage wave form are used to estimate the rotor resistance, the main inductance and the rotor speed. The proposed method has shown a good performance in both the transient and steady state operations even in the presence of noise, and also at either variable speed operation in the field-weakening region or in the load variation.

Rotor speed estimation of doubly fed induction motor using high frequency carrier signal injection

This paper presents a rotor position estimator for doubly fed induction motor (DFIM) based on carrier signal injection. The proposed control uses a high frequency signal injection methods to estimate the speed of doubly fed induction motor, which is used as feedback of vector control algorithm. This method is based on superimposed with the voltage stator a high frequency signal. The resulting voltage is applied in the stator windings using a pulse width modulated voltage-source inverter. The injection of these signal induced a rotor high frequency current, which contains the rotor position information, from which the rotor speed is estimated. In order to implement this estimator, a sensorless control structure based on stator field oriented control is investigated in which two voltage inverters are used to supply the stator and rotor sides. The simulation results implemented on Matlab/Simulink shows effectiveness under various operating conditions (Low speed, nominal speed and high speed).

Artificial Neural Networks-Based Decoupling Approach in the Vector Control Block of the Single-Phase Induction Machine

The vector control of single phase induction machine using conventional decoupling approaches has a remarkable decrease of rotor flux when the machine is powered by a real voltage source inverter. To solve this problem, we propose as an efficient solution, a decoupling approach based on artificial neural networks in the vector control block of single phase induction machine. The application of this approach to the single-phase machine increases its dynamic performance and constitutes a contribution to the study of this machine. Indeed, this type of machine has not yet taken its whole share from various works present until now, compared to the three-phase induction machine. For three different decoupling approaches with two types of supply: perfect voltage source and real voltage source inverter; a comparative study through numerical simulations is presented. The simulation results show the feasibility and good performance obtained by the proposed approach.

Hybrid neural-fuzzy control of the single-phase induction machine

The single-phase induction machine has the advantage of being powered by a single-phase voltage source. The availability of this power allows it to be widely used: electric household appliances, portable machine tools… However, this type of machine has not yet taken its whole share from various works present until now, in comparison with the three-phase asynchronous machine.