论文部分内容阅读
In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehi- cle (HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrial drive system, the conventional field-oriented control (FOC) provides poor performance. Therefore, a new robust PI-based extension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed in order to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme is robust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor is chosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy losses shown by simulations.
In this paper, the sensorless torque robust tracking problem of the induction motor for hybrid electric vehi- cle (HEV) applications is addressed. Because motor parameter variations in HEV applications are larger than in industrial drive system, the conventional field-oriented control (FOC Thus, a new robust PI-based extension of the FOC controller and a speed-flux observer based on sliding mode and Lyapunov theory are developed in order to improve the overall performance. Simulation results show that the proposed sensorless torque control scheme is robust with respect to motor parameter variations and loading disturbances. In addition, the operating flux of the motor is chosen optimally to minimize the consumption of electric energy, which results in a significant reduction in energy losses shown by simulations.