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. In addition, the effects of parameter detuning on the speed convergence are observed and compared with the conventional disturbance rejection mechanism. The entire drive system is first built in the Simulink environment. Then, the Simulink model is integrated with real-time (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.

Highlights

  • The utility of induction motors has risen considerably owing to its integration with power electronic converters, which made variable frequency operation realizable

  • This paper presented an improved version of a sliding mode Luenberger observer with Comparatively lower torque pulsation

  • Higher torque pulsations robustness as a result of to the effect of external and model comparatively better tracking performance, Disturbance torque resulting in better torque stator current pulsation

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Summary

Introduction

The utility of induction motors has risen considerably owing to its integration with power electronic converters, which made variable frequency operation realizable. Of all the variable frequency control strategies, the vector control or field oriented control principle was the most popular. The field orientation can be achieved by directly measuring the magnitude and direction of the flux by means of flux sensors or hall effect sensors in the machine (Direct Vector control) or it can be imposed indirectly by a slip frequency component from the rotor dynamics (Indirect Vector control). The latter was more feasible as it did not require the use of additional flux sensors that would occupy additional space and cost.

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