Application of Artificial Neural Network State Feedback Controller to Torque Ripple Minimization of PMSM

L. Niewiara, T. Tarczewski, L. M. Grzesiak

2014

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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