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Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm

descriptionPublicationkeyboard_double_arrow_right Conference object , Article 01 Sep 2018 Portugal Publisher:IEEEJournal:2018 International Conference on Intelligent Systems (IS)

Authors: Nunes, H.G.G.; Pestana, Luís; Mariano, S.; Calado, M. Do Rosário;

doi: 10.1109/is.2018.8710462

handle: 10400.6/8219

Position Control of Linear Switched Reluctance Machine using Flower Pollination Algorithm

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Abstract

This paper presents a control mechanism for position control of linear switched reluctance machine (LSRM) using flower pollination algorithm (FPA). The control mechanism consists of the proportional-integral-derivative (PID) position controller. Therefore, the problem of determining the optimal values for the gains (proportional, integral and derivative) of the position controller is defined as an optimization problem that aims to obtain the optimal gains by minimizing the integral of time multiplied by absolute error (ITAE) of the position. In order to evaluate the performance of the FPA different operating scenarios were considered and the salp swarm algorithm (SSA) and multi-verse optimizer (MVO) were also implemented for results comparison. The results reveal that position control based on the optimal gains obtained by the FPA provides the smallest error, improving the dynamic performance of the LSRM.

Country

Portugal

Related Organizations

Instituto de Telecomunicações
Portugal
University of Beira Interior
Portugal

Keywords

Flower poliination algorithm, Linear switched reluctance machine, PID controller, Position control

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