Speed Estimation Air-gap Field-orientation-controlled Induction Motor Drive with Fuzzy Logic Control Flux Observer

In this paper, a speed estimation method is presented, which is based on a flux observer for air-gap field orientation control (AFOC) of an induction motor (IM) drive that utilizes both air-gap flux and stator current. The stator current is obtained using Hall effect current sensors. The air-gap flux observer design was established using the Lyapunov stability theory, and the estimated rotor speed was derived from the developed flux estimator. The gain matrix parameters of the observer were adjusted by a fuzzy logic control (FLC) strategy. The MATLAB\Simulink (R) toolbox was used to simulate this system and all the control algorithms were realized using a T1 DSP 6713-and-F2812 card to generate pulse-width modulation (PWM) signals for the power stage to actuate the motor and validate the approach. Both the simulations and experimental results verified the effectiveness of the proposed system.