{"title":"基于洋流信息的水下航行器路径规划方法","authors":"Chang Liu, Yan-ling Hao, Feng Gao","doi":"10.1109/CSO.2011.51","DOIUrl":null,"url":null,"abstract":"A new path planning based on ocean Current information method for underwater vehicle was proposed. Considering the impact of ocean Currents in the path planning and the currents environmental field is generated using the historical statistical currents data. In order to plan out the path closer to people's wishes, the concept of assistant path point is proposed. After designing the evaluation function by considering the safety and economy of the path, Particle Swarm Optimization (PSO) algorithm was used for optimization of the global path planning for underwater vehicle. Simulation result shows that the planning path is closer to the real sailing track.","PeriodicalId":210815,"journal":{"name":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Path Planning Method for Underwater Vehicle Based on Ocean Current Information\",\"authors\":\"Chang Liu, Yan-ling Hao, Feng Gao\",\"doi\":\"10.1109/CSO.2011.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new path planning based on ocean Current information method for underwater vehicle was proposed. Considering the impact of ocean Currents in the path planning and the currents environmental field is generated using the historical statistical currents data. In order to plan out the path closer to people's wishes, the concept of assistant path point is proposed. After designing the evaluation function by considering the safety and economy of the path, Particle Swarm Optimization (PSO) algorithm was used for optimization of the global path planning for underwater vehicle. Simulation result shows that the planning path is closer to the real sailing track.\",\"PeriodicalId\":210815,\"journal\":{\"name\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Joint Conference on Computational Sciences and Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSO.2011.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Joint Conference on Computational Sciences and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSO.2011.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Path Planning Method for Underwater Vehicle Based on Ocean Current Information
A new path planning based on ocean Current information method for underwater vehicle was proposed. Considering the impact of ocean Currents in the path planning and the currents environmental field is generated using the historical statistical currents data. In order to plan out the path closer to people's wishes, the concept of assistant path point is proposed. After designing the evaluation function by considering the safety and economy of the path, Particle Swarm Optimization (PSO) algorithm was used for optimization of the global path planning for underwater vehicle. Simulation result shows that the planning path is closer to the real sailing track.
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