Implementation of Sensorless Speed Control for Induction Motor drive Using IRFOC

The aim of this paper is to implement a sensorless indirect rotor-flux-oriented control (IRFOC) of induction motor (IM) drives. Indeed, the proposed method for speed estimation is based on Luenberger state observer (LSO). The adaptive rotor speed is actually derived from Lyapunov stability theory by using measured and estimated stator currents and estimated rotor flux. The proposed control scheme, as a result, achieves a good performance with computational complexity reduction obtained by using the analytical relation to determine the LSO gain matrix. Again, the observer is simple and robust, when compared with the previously developed observers, and suitable for online implementation. The design, analysis, and implementation for a 3-kW induction motor are completely carried out using a dSpace DS 1104 digital signal processor (DSP) based real-time data acquisition control (DAC) system, and MATLAB/Simulink environment. Digital simulation and experimental results are presented to show the improvement in performance of the proposed algorithm.