Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization

In this paper, fuzzy Petri Net controller is used for Quadrotor system. The fuzzy Petrinet controller is arranged in the velocity PID form. The optimal values for the fuzzy Petri Net controller parameters have been achieved by using particle swarm optimization algorithm. In this paper, the referen...

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Main Authors: Mohammed J. Mohammed, Abduladhem A. Ali, Mofeed T. Rashid
Format: Article
Language:English
Published: College of Engineering, University of Basrah 2015-06-01
Series:Iraqi Journal for Electrical and Electronic Engineering
Subjects:
Online Access:http://ijeee.org/volums/volume11/IJEEE11PDF/paper1114.pdf
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author Mohammed J. Mohammed
Abduladhem A. Ali
Mofeed T. Rashid
author_facet Mohammed J. Mohammed
Abduladhem A. Ali
Mofeed T. Rashid
author_sort Mohammed J. Mohammed
collection DOAJ
description In this paper, fuzzy Petri Net controller is used for Quadrotor system. The fuzzy Petrinet controller is arranged in the velocity PID form. The optimal values for the fuzzy Petri Net controller parameters have been achieved by using particle swarm optimization algorithm. In this paper, the reference trajectory is obtained from a reference model that can be designed to have the ideal required response of the Quadrotor, also using the quadrotor equations to find decupling controller is first designed to reduce the effect of coupling between different inputs and outputs of quadrotor. The system performance has been measured by MATLAB. Simulation results showed that the FPN controller has a reasonable robustness against disturbances and good dynamic performance.
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spelling doaj.art-cd97b5b745434f20943ddc24b802e3432022-12-22T04:38:34ZengCollege of Engineering, University of BasrahIraqi Journal for Electrical and Electronic Engineering1814-58922078-60692015-06-01111132144Fuzzy Petri Net Controller for Quadrotor System using Particle Swam OptimizationMohammed J. Mohammed0Abduladhem A. Ali1Mofeed T. Rashid2Electrical Engineering Department University of Basrah Basrah, IraqComputer Engineering Department University of Basrah Basrah, IraqElectrical Engineering Department University of Basrah Basrah, IraqIn this paper, fuzzy Petri Net controller is used for Quadrotor system. The fuzzy Petrinet controller is arranged in the velocity PID form. The optimal values for the fuzzy Petri Net controller parameters have been achieved by using particle swarm optimization algorithm. In this paper, the reference trajectory is obtained from a reference model that can be designed to have the ideal required response of the Quadrotor, also using the quadrotor equations to find decupling controller is first designed to reduce the effect of coupling between different inputs and outputs of quadrotor. The system performance has been measured by MATLAB. Simulation results showed that the FPN controller has a reasonable robustness against disturbances and good dynamic performance.http://ijeee.org/volums/volume11/IJEEE11PDF/paper1114.pdfQuadrotorFuzzy Petri Net (FPN)Particle Swarm Optimization (PSO)MATLAB simulation
spellingShingle Mohammed J. Mohammed
Abduladhem A. Ali
Mofeed T. Rashid
Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization
Iraqi Journal for Electrical and Electronic Engineering
Quadrotor
Fuzzy Petri Net (FPN)
Particle Swarm Optimization (PSO)
MATLAB simulation
title Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization
title_full Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization
title_fullStr Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization
title_full_unstemmed Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization
title_short Fuzzy Petri Net Controller for Quadrotor System using Particle Swam Optimization
title_sort fuzzy petri net controller for quadrotor system using particle swam optimization
topic Quadrotor
Fuzzy Petri Net (FPN)
Particle Swarm Optimization (PSO)
MATLAB simulation
url http://ijeee.org/volums/volume11/IJEEE11PDF/paper1114.pdf
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