A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm

The main core of this paper is to design a trajectory tracking control algorithm for mobile robot using a cognitive PID neural controller based slice genetic optimization in order to follow a pre-defined a continuous path. Slice Genetic Optimization Algorithm (SGOA) is used to tune the cognitive PID...

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Main Author: Ahmed Sabah Al-Araji
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2015-01-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_101812_4975ad11f2727b11ccb7be7b518c1a89.pdf
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author Ahmed Sabah Al-Araji
author_facet Ahmed Sabah Al-Araji
author_sort Ahmed Sabah Al-Araji
collection DOAJ
description The main core of this paper is to design a trajectory tracking control algorithm for mobile robot using a cognitive PID neural controller based slice genetic optimization in order to follow a pre-defined a continuous path. Slice Genetic Optimization Algorithm (SGOA) is used to tune the cognitive PID neural controller's parameters in order to find best velocities control actions of the right wheel and left wheel for the mobile robot. Pollywog wavelet activation function is used in the structure of the cognitive PID neural controller. Simulation results and experimental work show the effectiveness of the proposed cognitive PID neural tuning control algorithm; This is demonstrated by the minimized tracking error and the smoothness of the velocity control signal obtained, especially with regards to the external disturbance attenuation problem.
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spelling doaj.art-39914d728fa645ac83f2fd60dfd159112024-02-04T17:28:03ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582015-01-01331A20822210.30684/etj.33.1A.16101812A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic AlgorithmAhmed Sabah Al-ArajiThe main core of this paper is to design a trajectory tracking control algorithm for mobile robot using a cognitive PID neural controller based slice genetic optimization in order to follow a pre-defined a continuous path. Slice Genetic Optimization Algorithm (SGOA) is used to tune the cognitive PID neural controller's parameters in order to find best velocities control actions of the right wheel and left wheel for the mobile robot. Pollywog wavelet activation function is used in the structure of the cognitive PID neural controller. Simulation results and experimental work show the effectiveness of the proposed cognitive PID neural tuning control algorithm; This is demonstrated by the minimized tracking error and the smoothness of the velocity control signal obtained, especially with regards to the external disturbance attenuation problem.https://etj.uotechnology.edu.iq/article_101812_4975ad11f2727b11ccb7be7b518c1a89.pdfslice genetic algorithmcognitive pid controllermobile robotstrajectory tracking
spellingShingle Ahmed Sabah Al-Araji
A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm
Engineering and Technology Journal
slice genetic algorithm
cognitive pid controller
mobile robots
trajectory tracking
title A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm
title_full A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm
title_fullStr A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm
title_full_unstemmed A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm
title_short A Cognitive PID Neural Controller Design for Mobile Robot Based on Slice Genetic Algorithm
title_sort cognitive pid neural controller design for mobile robot based on slice genetic algorithm
topic slice genetic algorithm
cognitive pid controller
mobile robots
trajectory tracking
url https://etj.uotechnology.edu.iq/article_101812_4975ad11f2727b11ccb7be7b518c1a89.pdf
work_keys_str_mv AT ahmedsabahalaraji acognitivepidneuralcontrollerdesignformobilerobotbasedonslicegeneticalgorithm
AT ahmedsabahalaraji cognitivepidneuralcontrollerdesignformobilerobotbasedonslicegeneticalgorithm