Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm

This article introduces a singleton type-1 fuzzy logic system (T1-SFLS) controller and Fuzzy-WDO hybrid for the autonomous mobile robot navigation and collision avoidance in an unknown static and dynamic environment. The WDO (Wind Driven Optimization) algorithm is used to optimize and tune the input...

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Main Authors: Anish Pandey, Dayal R. Parhi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2017-02-01
Series:Defence Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2214914716300824
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author Anish Pandey
Dayal R. Parhi
author_facet Anish Pandey
Dayal R. Parhi
author_sort Anish Pandey
collection DOAJ
description This article introduces a singleton type-1 fuzzy logic system (T1-SFLS) controller and Fuzzy-WDO hybrid for the autonomous mobile robot navigation and collision avoidance in an unknown static and dynamic environment. The WDO (Wind Driven Optimization) algorithm is used to optimize and tune the input/output membership function parameters of the fuzzy controller. The WDO algorithm is working based on the atmospheric motion of infinitesimal small air parcels navigates over an N-dimensional search domain. The performance of this proposed technique has compared through many computer simulations and real-time experiments by using Khepera-III mobile robot. As compared to the T1-SFLS controller the Fuzzy-WDO algorithm is found good agreement for mobile robot navigation.
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spelling doaj.art-0c7c73f49e46465daeb082ee222049002022-12-21T20:24:50ZengKeAi Communications Co., Ltd.Defence Technology2214-91472017-02-01131475810.1016/j.dt.2017.01.001Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithmAnish PandeyDayal R. ParhiThis article introduces a singleton type-1 fuzzy logic system (T1-SFLS) controller and Fuzzy-WDO hybrid for the autonomous mobile robot navigation and collision avoidance in an unknown static and dynamic environment. The WDO (Wind Driven Optimization) algorithm is used to optimize and tune the input/output membership function parameters of the fuzzy controller. The WDO algorithm is working based on the atmospheric motion of infinitesimal small air parcels navigates over an N-dimensional search domain. The performance of this proposed technique has compared through many computer simulations and real-time experiments by using Khepera-III mobile robot. As compared to the T1-SFLS controller the Fuzzy-WDO algorithm is found good agreement for mobile robot navigation.http://www.sciencedirect.com/science/article/pii/S2214914716300824Singleton type-1 fuzzyNavigationWind driven optimizationMembership functionAtmospheric motion
spellingShingle Anish Pandey
Dayal R. Parhi
Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm
Defence Technology
Singleton type-1 fuzzy
Navigation
Wind driven optimization
Membership function
Atmospheric motion
title Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm
title_full Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm
title_fullStr Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm
title_full_unstemmed Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm
title_short Optimum path planning of mobile robot in unknown static and dynamic environments using Fuzzy-Wind Driven Optimization algorithm
title_sort optimum path planning of mobile robot in unknown static and dynamic environments using fuzzy wind driven optimization algorithm
topic Singleton type-1 fuzzy
Navigation
Wind driven optimization
Membership function
Atmospheric motion
url http://www.sciencedirect.com/science/article/pii/S2214914716300824
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