07-03-2012, 03:15 PM
MADANAPALLE INSTITUTE OF TECHNOLOGY AND SCIENCE MADANAPALLE
ABSTRACT
This describes a combination of direct torque control (DTC) and space vector modulation (SVM) for an adjustable speed sensorless induction motor (IM) drive. The motor drive is supplied by a two-level SVPWM inverter. The inverter reference voltage is obtained based on input-output feedback linearization control, using the IM model in the stator D–Q axes reference frame with stator current and flux vectors components as state variables.
Moreover, a robust full-order adaptive stator flux observer is designed for a speed sensorless DTC-SVM system and a new speed-adaptive law is given. By designing the observer gain matrix based on state feedback control theory, the stability and robustness of the observer systems is ensured. The stability of the speed adaptive stator flux observer is also guaranteed by the gain matrix in very low speed finally, the effectiveness and validity of the proposed control approach is verified by simulation results.
Here we use matlab/simulink for the simulation purpose. The proposed control algorithms are verified by extensive simulation results.
ABSTRACT
This describes a combination of direct torque control (DTC) and space vector modulation (SVM) for an adjustable speed sensorless induction motor (IM) drive. The motor drive is supplied by a two-level SVPWM inverter. The inverter reference voltage is obtained based on input-output feedback linearization control, using the IM model in the stator D–Q axes reference frame with stator current and flux vectors components as state variables.
Moreover, a robust full-order adaptive stator flux observer is designed for a speed sensorless DTC-SVM system and a new speed-adaptive law is given. By designing the observer gain matrix based on state feedback control theory, the stability and robustness of the observer systems is ensured. The stability of the speed adaptive stator flux observer is also guaranteed by the gain matrix in very low speed finally, the effectiveness and validity of the proposed control approach is verified by simulation results.
Here we use matlab/simulink for the simulation purpose. The proposed control algorithms are verified by extensive simulation results.