{"title":"基于人工势场法的无人机路径规划局限性研究","authors":"Xi-Gang Yuan","doi":"10.1109/IFEEA57288.2022.10037827","DOIUrl":null,"url":null,"abstract":"In this paper, an improved artificial potential field method is proposed to solve the obstacle avoidance problem in UAV path planning. We correct the potential function by introducing correction factors and relative distances, to address the limitations of the traditional artificial potential field method, i.e., target unreachability and local minimum. MATLAB simulations demonstrate the feasibility of the improved algorithm for solving the target unreachability and local minimum problems in path planning.","PeriodicalId":304779,"journal":{"name":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the Limitations of UAV Path Planning Based on Artificial Potential Field Method\",\"authors\":\"Xi-Gang Yuan\",\"doi\":\"10.1109/IFEEA57288.2022.10037827\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an improved artificial potential field method is proposed to solve the obstacle avoidance problem in UAV path planning. We correct the potential function by introducing correction factors and relative distances, to address the limitations of the traditional artificial potential field method, i.e., target unreachability and local minimum. MATLAB simulations demonstrate the feasibility of the improved algorithm for solving the target unreachability and local minimum problems in path planning.\",\"PeriodicalId\":304779,\"journal\":{\"name\":\"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IFEEA57288.2022.10037827\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 9th International Forum on Electrical Engineering and Automation (IFEEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IFEEA57288.2022.10037827","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Limitations of UAV Path Planning Based on Artificial Potential Field Method
In this paper, an improved artificial potential field method is proposed to solve the obstacle avoidance problem in UAV path planning. We correct the potential function by introducing correction factors and relative distances, to address the limitations of the traditional artificial potential field method, i.e., target unreachability and local minimum. MATLAB simulations demonstrate the feasibility of the improved algorithm for solving the target unreachability and local minimum problems in path planning.