Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller

This paper presents a comparison between two nonlinear PID controllers, the first is the Neural based controller and the second is the nonlinear fractional order PID controller (FOPID) for a trajectory tracking control of a non-holonomic two wheeled mobile robots (2-WMR). A modified particle swarm o...

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Main Authors: Ibraheem K. Ibraheem, Ghusn A. Ibraheem
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2016-12-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_123658_bb928ff5d4555037c1b49c46eb1147d4.pdf
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author Ibraheem K. Ibraheem
Ghusn A. Ibraheem
author_facet Ibraheem K. Ibraheem
Ghusn A. Ibraheem
author_sort Ibraheem K. Ibraheem
collection DOAJ
description This paper presents a comparison between two nonlinear PID controllers, the first is the Neural based controller and the second is the nonlinear fractional order PID controller (FOPID) for a trajectory tracking control of a non-holonomic two wheeled mobile robots (2-WMR). A modified particle swarm optimization (MPSO) has been proposed in this work to tune the parameters of the nonlinear FOPID controller to design the controller so that the 2-WMR follows exactly a predefined continuous track. The kinematic model of a differential drive 2-WMR has been derived to simulate the behavior of the 2-WMR and it is used in the design and simulations of the proposed FOPID controller. From simulation and results, it can be seen that the efficiency of the proposed nonlinear FOPID controller outperforms the nonlinear integer order PID controller; this is proved by the minimized tracking error and the speed control signals obtained.
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spelling doaj.art-c0fe4cb32710402cb3c7e3e9b0d367aa2024-02-04T17:27:54ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582016-12-013413A2406241910.30684/etj.34.13A.4123658Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID ControllerIbraheem K. IbraheemGhusn A. IbraheemThis paper presents a comparison between two nonlinear PID controllers, the first is the Neural based controller and the second is the nonlinear fractional order PID controller (FOPID) for a trajectory tracking control of a non-holonomic two wheeled mobile robots (2-WMR). A modified particle swarm optimization (MPSO) has been proposed in this work to tune the parameters of the nonlinear FOPID controller to design the controller so that the 2-WMR follows exactly a predefined continuous track. The kinematic model of a differential drive 2-WMR has been derived to simulate the behavior of the 2-WMR and it is used in the design and simulations of the proposed FOPID controller. From simulation and results, it can be seen that the efficiency of the proposed nonlinear FOPID controller outperforms the nonlinear integer order PID controller; this is proved by the minimized tracking error and the speed control signals obtained.https://etj.uotechnology.edu.iq/article_123658_bb928ff5d4555037c1b49c46eb1147d4.pdftwo wheel mobile robottrajectory trackingnonholonomic systemsfactional order piparticle swarm optimization
spellingShingle Ibraheem K. Ibraheem
Ghusn A. Ibraheem
Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller
Engineering and Technology Journal
two wheel mobile robot
trajectory tracking
non
holonomic systems
factional order pi
particle swarm optimization
title Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller
title_full Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller
title_fullStr Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller
title_full_unstemmed Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller
title_short Motion Control of An Autonomous Mobile Robot using Modified Particle Swarm Optimization Based Fractional Order PID Controller
title_sort motion control of an autonomous mobile robot using modified particle swarm optimization based fractional order pid controller
topic two wheel mobile robot
trajectory tracking
non
holonomic systems
factional order pi
particle swarm optimization
url https://etj.uotechnology.edu.iq/article_123658_bb928ff5d4555037c1b49c46eb1147d4.pdf
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AT ghusnaibraheem motioncontrolofanautonomousmobilerobotusingmodifiedparticleswarmoptimizationbasedfractionalorderpidcontroller