Open AccessAutomatic Control of Mobile Industrial Robot Based on Multiobjective Optimization Strategy
Author(s) -
Ya-Hong Zhu,
Jiantao Jiao
Publication year - 2022
Publication title -
journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 25
eISSN - 2090-0155
pISSN - 2090-0147
DOI - 10.1155/2022/7825906
Subject(s) - cascade , path (computing) , energy consumption , mobile robot , energy (signal processing) , computer science , selection (genetic algorithm) , control (management) , engineering , mathematical optimization , robot , computer network , artificial intelligence , mathematics , electrical engineering , statistics , chemical engineering
In order to solve the optimal cascade mobile path selection problem when mobile industrial robots repair network coverage holes, a cascade mobile path selection optimization method considering the number and energy of intermediate cascade nodes is proposed. By calculating the energy availability of intermediate cascade nodes, this method further obtains the energy availability and decisive energy of each path, selects the optimal cascade mobile path from the perspective of multiobjective optimization, effectively balances the energy consumption of each mobile industrial robot, makes full use of the energy of the whole network, and prolongs the survival time of the network. Simulation results show that the optimization method has higher network energy efficiency than the standard cascaded mobile method.