loading
Papers

Research.Publish.Connect.

Paper

Authors: Rafal Szczepanski 1 ; Tomasz Tarczewski 1 ; Krystian Erwinski 1 and Lech M. Grzesiak 2

Affiliations: 1 Department of Automatics and Measurement Systems, Nicolaus Copernicus University, Grudziadzka 5, 87-100 Torun and Poland ; 2 Institute of Control and Industrial Electronics, Warsaw University of Technology, Koszykowa 75, 00-662 Warsaw and Poland

ISBN: 978-989-758-321-6

Keyword(s): Constraint-handling Technique, Augmented Lagrangian, Deb’s Rules, Optimization, Artificial Bee Colony, State Feedback Speed Controller, PMSM.

Related Ontology Subjects/Areas/Topics: Evolutionary Computation and Control ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms

Abstract: This article focuses on comparison of two constraint-handling techniques: Deb’s Rules (DR) and Augmented Lagrangian (AL) applied to Artificial Bee Colony (ABC) algorithm that is used for auto-tuning of state feedback speed controller (SFC) for permanent magnet synchronous motor (PMSM). The task of the optimization algorithm is to determine the elements of Q and R weighting matrices in linear quadratic regulator (LQR) optimization process. Chosen matrices guarantee the best performance according to given optimization criteria. Safety and proper operation of the motor requires the use of constraint-handling (C-H) technique. The ABC in its original version cannot handle the constrained optimization problems, therefore necessary modifications of considered optimization algorithm are depicted. Simulation and experimental results showed that AL technique allows to obtain a better convergence of ABC algorithm and a better performance of the PMSM drive than DR technique.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.236.216.93

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Szczepanski, R.; Tarczewski, T.; Erwinski, K. and Grzesiak, L. (2018). Comparison of Constraint-handling Techniques Used in Artificial Bee Colony Algorithm for Auto-Tuning of State Feedback Speed Controller for PMSM.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-321-6, pages 269-276. DOI: 10.5220/0006904002790286

@conference{icinco18,
author={Rafal Szczepanski. and Tomasz Tarczewski. and Krystian Erwinski. and Lech M. Grzesiak.},
title={Comparison of Constraint-handling Techniques Used in Artificial Bee Colony Algorithm for Auto-Tuning of State Feedback Speed Controller for PMSM},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2018},
pages={269-276},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006904002790286},
isbn={978-989-758-321-6},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Comparison of Constraint-handling Techniques Used in Artificial Bee Colony Algorithm for Auto-Tuning of State Feedback Speed Controller for PMSM
SN - 978-989-758-321-6
AU - Szczepanski, R.
AU - Tarczewski, T.
AU - Erwinski, K.
AU - Grzesiak, L.
PY - 2018
SP - 269
EP - 276
DO - 10.5220/0006904002790286

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.