Speed Sensorless Control with a Linearization by State Feedback of Induction Machine with Adaptation of the Rotor Time-constant Using Fuzzy Regulator Powered by Photovoltaic Solar Energy

In this paper, we show that the association of the PI regulators for the speed and stator currents with a control strategy using the linearization by state feedback for an induction machine without speed sensor, and with adaptation of rotor time constant powered by a solar photovoltaic energy. The solar photovoltaic energy nowadays, is one of the renewable energies sources present in various domains of applications. Moreover, the photovoltaic generator (PVG) output voltage depends of several climatic factors, such as the irradiations and the temperature. To overcome these problems, one must carries out an adequate sizing and exploits the maximum power available at the level of the (PVG). Thus the proposed structure in our work is constituted of one PV generator associated to a (DC/DC) converter controlled by using a technique of maximum power point tracker (MPPT). To adapt the rotor time constant, we proposed fuzzy tuning mechanism based on the reactive power of the machine in the permanent regime. The rotor speed is estimated by using the model reference adaptive system approach (MRAS). This method consists of using two models: The first is the reference model and the second is an adjustable one in which two components of the stator flux, obtained from the measurement of the currents and stator voltages are estimated. The estimated rotor speed is then obtained by cancelling the difference between stator-flux of the reference model and those of the adjustable one. Satisfactory results of simulation are obtained and discussed in this paper to highlight the proposed approach.