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Authors: L. Niewiara 1 ; T. Tarczewski 1 and L. M. Grzesiak 2

Affiliations: 1 Nicolaus Copernicus University, Poland ; 2 Warsaw University of Technology, Poland

ISBN: 978-989-758-039-0

Keyword(s): Artificial Neural Network, Adaptive State Feedback Controller, Permanent Magnet Synchronous Motor, Torque Ripple.

Related Ontology Subjects/Areas/Topics: Engineering Applications ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Neural Networks Based Control Systems ; Optimization Algorithms ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: This paper deals with the problem of torque ripple minimization of permanent magnet synchronous motor. The novelty of the presented approach lays in precisely maintain the level of the voltage source inverter DC voltage demanded for proper operation of the motor. An additional voltage matching circuit with state feedback controller is introduced in order to control of the inverter DC voltage. In the proposed solution model of a plant (i.e. permanent magnet synchronous motor fed by voltage source inverter with additional voltage matching circuit) is non-linear and non-stationary. An adaptive state feedback controller is developed by using an artificial neural network, which approximates non-linear control gain surfaces. A simple adaptation algorithm based on 2 low-order low-pass filters is used. Simulation results illustrate the proposed approach in comparison to typical drive with voltage source inverter and stationary state feedback controller.

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Paper citation in several formats:
Niewiara, L.; Tarczewski, T. and Grzesiak, L. (2014). Application of Artificial Neural Network State Feedback Controller to Torque Ripple Minimization of PMSM.In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 363-369. DOI: 10.5220/0005086603630369

@conference{icinco14,
author={L. Niewiara. and T. Tarczewski. and L. M. Grzesiak.},
title={Application of Artificial Neural Network State Feedback Controller to Torque Ripple Minimization of PMSM},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={363-369},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005086603630369},
isbn={978-989-758-039-0},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Application of Artificial Neural Network State Feedback Controller to Torque Ripple Minimization of PMSM
SN - 978-989-758-039-0
AU - Niewiara, L.
AU - Tarczewski, T.
AU - Grzesiak, L.
PY - 2014
SP - 363
EP - 369
DO - 10.5220/0005086603630369

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