Krishna S., M.; Daya J.L., F.; Padmanaban, S.; Mihet-Popa, L. Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications. Energies2017, 10, 1077.
Krishna S., M.; Daya J.L., F.; Padmanaban, S.; Mihet-Popa, L. Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications. Energies 2017, 10, 1077.
Krishna S., M.; Daya J.L., F.; Padmanaban, S.; Mihet-Popa, L. Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications. Energies2017, 10, 1077.
Krishna S., M.; Daya J.L., F.; Padmanaban, S.; Mihet-Popa, L. Real-Time Analysis of a Modified State Observer for Sensorless Induction Motor Drive Used in Electric Vehicle Applications. Energies 2017, 10, 1077.
Abstract
The purpose of this work is to present an adaptive sliding mode luenberger state observer with improved disturbance rejection capability and better tracking performance under dynamic conditions. The sliding hyperplane is altered by incorporating the estimated disturbance torque with the stator currents. Also, the effects of parameter detuning on the speed convergence is observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in simulink environment. Then, the simulink model is integrated with RT-Lab blocksets and implemented in a relatively new real-time environment using OP4500 real-time simulator. Real-time simulation and testing platforms have succeeded offline simulation and testing tools due to their reduced development time. The real-time results validate the improvement in the proposed state observer and also correspond to the performance of the actual physical model.
Keywords
state estimation; model reference; sliding mode; real-time; parameter detuning
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
