Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots

In this paper, in order to cope with both parametric and nonparametric uncertainties in the robot model, an optimal Mamdani-type fuzzy logic controller is introduced for trajectory tracking of wheeled mobile robots (WMRs). The dynamic model of a nonholonomic mobile robot was implemented in the Matla...

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Main Authors: Davood Nazari Maryam Abadi, Mohammad Hassan Khooban
Format: Article
Language:English
Published: Elsevier 2015-01-01
Series:Journal of King Saud University: Engineering Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1018363913000184
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author Davood Nazari Maryam Abadi
Mohammad Hassan Khooban
author_facet Davood Nazari Maryam Abadi
Mohammad Hassan Khooban
author_sort Davood Nazari Maryam Abadi
collection DOAJ
description In this paper, in order to cope with both parametric and nonparametric uncertainties in the robot model, an optimal Mamdani-type fuzzy logic controller is introduced for trajectory tracking of wheeled mobile robots (WMRs). The dynamic model of a nonholonomic mobile robot was implemented in the Matlab/Simulink environment. The parameters of input and output membership functions, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simulation results show the system performance is desirable.
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spelling doaj.art-b4986fe996a74e57a54c88b7c28a4a462022-12-22T01:40:34ZengElsevierJournal of King Saud University: Engineering Sciences1018-36392015-01-012719210010.1016/j.jksues.2013.05.003Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robotsDavood Nazari Maryam Abadi0Mohammad Hassan Khooban1Department of Electrical and Robotic Engineering, Garmsar Branch, Islamic Azad University of Iran, Garmsar, IranDepartment of Electrical and Robotic Engineering, Garmsar Branch, Islamic Azad University of Iran, Garmsar, IranIn this paper, in order to cope with both parametric and nonparametric uncertainties in the robot model, an optimal Mamdani-type fuzzy logic controller is introduced for trajectory tracking of wheeled mobile robots (WMRs). The dynamic model of a nonholonomic mobile robot was implemented in the Matlab/Simulink environment. The parameters of input and output membership functions, and PID controller coefficients are optimized simultaneously by random inertia weight Particle Swarm Optimization (RNW-PSO). Simulation results show the system performance is desirable.http://www.sciencedirect.com/science/article/pii/S1018363913000184Nonholonomic wheeled mobile robot (WMR)Fuzzy controllerParticle Swarm Optimization (PSO)
spellingShingle Davood Nazari Maryam Abadi
Mohammad Hassan Khooban
Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots
Journal of King Saud University: Engineering Sciences
Nonholonomic wheeled mobile robot (WMR)
Fuzzy controller
Particle Swarm Optimization (PSO)
title Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots
title_full Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots
title_fullStr Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots
title_full_unstemmed Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots
title_short Design of optimal Mamdani-type fuzzy controller for nonholonomic wheeled mobile robots
title_sort design of optimal mamdani type fuzzy controller for nonholonomic wheeled mobile robots
topic Nonholonomic wheeled mobile robot (WMR)
Fuzzy controller
Particle Swarm Optimization (PSO)
url http://www.sciencedirect.com/science/article/pii/S1018363913000184
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AT mohammadhassankhooban designofoptimalmamdanitypefuzzycontrollerfornonholonomicwheeledmobilerobots