Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids

This paper investigates the substation inspection problems of multimobile robots for large power stations in smart microgrids. Most multirobot inspection robots generally face the challenge of path planning, while the current widely used biological excitation neural network (BENN) methods often have...

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Main Authors: Nankai Chen, Yaonan Wang
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/6695688
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author Nankai Chen
Yaonan Wang
author_facet Nankai Chen
Yaonan Wang
author_sort Nankai Chen
collection DOAJ
description This paper investigates the substation inspection problems of multimobile robots for large power stations in smart microgrids. Most multirobot inspection robots generally face the challenge of path planning, while the current widely used biological excitation neural network (BENN) methods often have the defect of the neuronal active field near boundaries and obstacles. To end this, we propose an improved biological excitation neural network (IBENN) method for path planning based on a detailed architecture and ontology framework, through which the single-point inspection, multipoint inspection, and full-area inspection tasks of substations in smart microgrids can be well completed. Simulation results show that the designed IBENN-based multirobot collaboration inspection (MRCI) system can effectively shorten the path as well as the number of turns and then show better performance than most existing results when implementing various substation inspection tasks.
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-7c7fb0dde2604cf2a57b90d73f321d5b2025-08-20T02:07:24ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/66956886695688Design and Collaborative Operation of Multimobile Inspection Robots in Smart MicrogridsNankai Chen0Yaonan Wang1College of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaCollege of Electrical and Information Engineering, Hunan University, Changsha 410082, ChinaThis paper investigates the substation inspection problems of multimobile robots for large power stations in smart microgrids. Most multirobot inspection robots generally face the challenge of path planning, while the current widely used biological excitation neural network (BENN) methods often have the defect of the neuronal active field near boundaries and obstacles. To end this, we propose an improved biological excitation neural network (IBENN) method for path planning based on a detailed architecture and ontology framework, through which the single-point inspection, multipoint inspection, and full-area inspection tasks of substations in smart microgrids can be well completed. Simulation results show that the designed IBENN-based multirobot collaboration inspection (MRCI) system can effectively shorten the path as well as the number of turns and then show better performance than most existing results when implementing various substation inspection tasks.http://dx.doi.org/10.1155/2021/6695688
spellingShingle Nankai Chen
Yaonan Wang
Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids
Complexity
title Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids
title_full Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids
title_fullStr Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids
title_full_unstemmed Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids
title_short Design and Collaborative Operation of Multimobile Inspection Robots in Smart Microgrids
title_sort design and collaborative operation of multimobile inspection robots in smart microgrids
url http://dx.doi.org/10.1155/2021/6695688
work_keys_str_mv AT nankaichen designandcollaborativeoperationofmultimobileinspectionrobotsinsmartmicrogrids
AT yaonanwang designandcollaborativeoperationofmultimobileinspectionrobotsinsmartmicrogrids