Control of a reluctance actuator using hybrid flux estimation

Master Thesis (2024)
Author(s)

J.T. Gregoire (TU Delft - Mechanical Engineering)

Contributor(s)

S. Hassan Hossein Nia – Mentor (TU Delft - Mechatronic Systems Design)

A. Hunt – Graduation committee member (TU Delft - Micro and Nano Engineering)

Leon Jabben – Mentor (MI-Partners)

Faculty
Mechanical Engineering
More Info
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Publication Year
2024
Language
English
Graduation Date
22-11-2024
Awarding Institution
Delft University of Technology
Programme
Mechanical Engineering
Sponsors
MI-Partners Bv
Faculty
Mechanical Engineering
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Abstract

Reluctance actuators boast a high motor constant in small air-gap applications when compared to Lorentz actuators. Inherent non-linearities in the F-I relation limit force predictability. Replacing conventional current control with flux control can greatly improve force predictability. Traditionally, hall sensors or hysteresis modelling are employed for accurate flux estimation. This thesis proposes a calibration strategy and control architecture for hybrid flux estimation. The novel control architecture is implemented on a test set-up at MI-Partners. The flux estimator consists of a high pass filtered sense coil and a low pass filtered current probe for integration drift correction. Through comparison of force estimation errors due to magnetic hysteresis, (analog) integration drift and integration errors the optimal crossover frequency was calculated to be 13 mHz. The hybrid control architecture is capable of force prediction accuracy on par with hall control. Simulated positioning accuracy even shows an improvement of 13%, simulations show an improvement in maximum error from 423  micrometer to 369 micrometer. A positioning accuracy improvement of up to 332% over a similar current controlled system has been demonstrated.

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File under embargo until 22-11-2026