Application of iterative learning control for ripple torque compensation in PMSM drive

• Autorzy: Wójcik Adrian , Pajchrowski Tomasz

Identyfikatory

DOI

10.24425/aee.2019.128270

• Języki publikacji: EN

Abstrakty

EN

The aim of the studywas to find an effective method of ripple torque compensation for a direct drive with a permanent magnet synchronous motor (PMSM) without time- consuming drive identification. The main objective of the research on the development of a methodology for the proper teaching a neural network was achieved by the use of iterative learning control (ILC), correct estimation of torque and spline interpolation. The paper presents the structure of the drive system and the method of its tuning in order to reduce the torque ripple, which has a significant effect on the uneven speed of the servo drive. The proposed structure of the PMSM in the dq axis is equipped with a neural compensator. The introduced iterative learning control was based on the estimation of the ripple torque and spline interpolation. The structurewas analyzed and verified by simulation and experimental tests. The elaborated structure of the drive system and method of its tuning can be easily used by applying a microprocessor system available now on the market. The proposed control solution can be made without time-consuming drive identification, which can have a great practical advantage. The article presents a new approach to proper neural network training in cooperation with iterative learning for repetitive motion systems without time-consuming identification of the motor.

Słowa kluczowe

EN

ripple torque; iterative learning control; artificial neural network; permanent magnet synchronous motor

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2019
• Tom: Vol. 68, nr 2
• Strony: 309--324
• Opis fizyczny: Bibliogr. 17 poz., rys., wz.

Twórcy

autor

Wójcik Adrian

• Institute of Control, Robotics and Information Engineering, Poznań University of Technology Piotrowo 3a, 60-965 Poznań, Poland

autor

Pajchrowski Tomasz

• Institute of Control, Robotics and Information Engineering, Poznań University of Technology Piotrowo 3a, 60-965 Poznań, Poland

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).