Abstract
In this work a sensor-less architecture based on the Extended Kalman Filter observer and on feedback linearization control system is proposed. This work proves that also with a sensor-less architecture (where only the measurements of the machine’s electrical dynamic quantities are available) it is possible to assume a previously control solution, proposed by the authors, to reduce the intrinsic problem of the Cogging Torque. Results in term of the trajectory tracking control problem on the direct current component and on the rotor axis position are presented. An analysis on the initial condition of the rotor axis position revels that the architecture is robust in term of variation of start condition of the global system.
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Pierpaolo, D., Saponara, S. (2020). Control System Design for Cogging Torque Reduction Based on Sensor-Less Architecture. In: Saponara, S., De Gloria, A. (eds) Applications in Electronics Pervading Industry, Environment and Society. ApplePies 2019. Lecture Notes in Electrical Engineering, vol 627. Springer, Cham. https://doi.org/10.1007/978-3-030-37277-4_36
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DOI: https://doi.org/10.1007/978-3-030-37277-4_36
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