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The Precise Positioning Algorithm Optimization Base on PSO-PF for Agricultural Machinery Navigation System
Zhang, Yan1,2; Hu JT(胡静涛)2
Department数字工厂研究室
Conference Name2019 2nd International Conference on Advanced Algorithms and Control Engineering, ICAACE 2019
Conference DateApril 26-28, 2019
Conference PlaceGuilin, China
Source PublicationInternational Conference on Advanced Algorithms and Control Engineering, ICAACE 2019 - Mathematical and Computer Modeling
PublisherIOP
Publication PlaceBristol, UK
2019
Pages1-6
Indexed ByEI
EI Accession number20193207268545
WOS IDIOP:1742-6588-1213-4-042068
Contribution Rank1
ISSN1742-6588
AbstractA Modified Weight Particle Swarm Optimization-Particle Filter is proposed for the integrated navigation nonlinear system in agricultural machinery operation. The algorithm combines the advantages of particle filter and the global and local searching ability of particle swarm optimization, which modifies the particle weight and accelerates the particle convergence on optimizing particle update mode by adding advantage and disadvantage. It reduces the probability of falling into local optimum, and the global accurate positioning is achieved in a short time. The feasibility and superiority of modified weight particle swarm optimization particle filter are verified by simulation and experiment.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/25398
Collection数字工厂研究室
Corresponding AuthorZhang, Yan
Affiliation1.School of Information and Electronic Engineering, Shandong Technology and Business University, Key Laboratory of Sensing Technology and Control in Universities of Shandong, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
Recommended Citation
GB/T 7714
Zhang, Yan,Hu JT. The Precise Positioning Algorithm Optimization Base on PSO-PF for Agricultural Machinery Navigation System[C]. Bristol, UK:IOP,2019:1-6.
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