Abstract:
Induction machine transient inductance often shows multiple saliencies that can be exploited for sensorless control. The resulting current slopes after an inverter-impose...Show MoreMetadata
Abstract:
Induction machine transient inductance often shows multiple saliencies that can be exploited for sensorless control. The resulting current slopes after an inverter-imposed voltage step can be arranged to form a saliency vector that contains the superposition of all machine saliencies. A crucial processing step is to separate motor saliencies during online operation. This is required in order to access a single saliency harmonic that is used as feedback in the control scheme. A robust saliency separation technique relies on an identification of all non-control machine saliency harmonics during a commissioning stage including their torque dependence. The stored saliencies are then feedforward compensated using the stored information. Yet, saliencies present a relevant speed dependency as well. This paper investigates the effects of the speed on the saliency amplitude and phase shift in the context of feedforward saliency separation, and provides a speed adaption method for accurate saliency compensation. To prove the saliency speed-dependency and performance of the proposed speed adaption method, experimental results taken on an induction machine are provided.
Published in: 2022 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM)
Date of Conference: 22-24 June 2022
Date Added to IEEE Xplore: 02 August 2022
ISBN Information: