{"title":"移动机器人的安全关键轨迹跟踪性能保证","authors":"Wentao Wu;Di Wu;Yibo Zhang;Shukang Chen;Weidong Zhang","doi":"10.1109/JAS.2023.123864","DOIUrl":null,"url":null,"abstract":"Dear Editor, This letter considers a collision-free trajectory tracking problem for performance-guaranteed mobile robots (MRs) subject to obstacles. We propose a safety-critical performance-guaranteed trajectory tracking method based on control barrier functions (CBFs). First, an auxiliary system is established to generate the non-negative signals for inflexible bounds such that the performance constraints are not violated when avoiding obstacles. Next, the desired guidance laws are devised to evolve tracking errors within performance space by the error transformation technique. Then, a position-heading CBF based on a heading collision-free principle is developed. Under the CBF framework, the safety-critical angle speed guidance law is solved by a quadratic program with respect to position-heading CBF constraints. It is proved that all errors can converge and evolve within a prescribed performance space, and the closed-loop system is ensured to be safe. Finally, simulation and experiment results are given to verify the effectiveness and feasibility of the proposed control scheme.","PeriodicalId":54230,"journal":{"name":"Ieee-Caa Journal of Automatica Sinica","volume":"11 9","pages":"2033-2035"},"PeriodicalIF":15.3000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10551317","citationCount":"0","resultStr":"{\"title\":\"Safety-Critical Trajectory Tracking for Mobile Robots with Guaranteed Performance\",\"authors\":\"Wentao Wu;Di Wu;Yibo Zhang;Shukang Chen;Weidong Zhang\",\"doi\":\"10.1109/JAS.2023.123864\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dear Editor, This letter considers a collision-free trajectory tracking problem for performance-guaranteed mobile robots (MRs) subject to obstacles. We propose a safety-critical performance-guaranteed trajectory tracking method based on control barrier functions (CBFs). First, an auxiliary system is established to generate the non-negative signals for inflexible bounds such that the performance constraints are not violated when avoiding obstacles. Next, the desired guidance laws are devised to evolve tracking errors within performance space by the error transformation technique. Then, a position-heading CBF based on a heading collision-free principle is developed. Under the CBF framework, the safety-critical angle speed guidance law is solved by a quadratic program with respect to position-heading CBF constraints. It is proved that all errors can converge and evolve within a prescribed performance space, and the closed-loop system is ensured to be safe. Finally, simulation and experiment results are given to verify the effectiveness and feasibility of the proposed control scheme.\",\"PeriodicalId\":54230,\"journal\":{\"name\":\"Ieee-Caa Journal of Automatica Sinica\",\"volume\":\"11 9\",\"pages\":\"2033-2035\"},\"PeriodicalIF\":15.3000,\"publicationDate\":\"2024-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10551317\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ieee-Caa Journal of Automatica Sinica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10551317/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ieee-Caa Journal of Automatica Sinica","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10551317/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Safety-Critical Trajectory Tracking for Mobile Robots with Guaranteed Performance
Dear Editor, This letter considers a collision-free trajectory tracking problem for performance-guaranteed mobile robots (MRs) subject to obstacles. We propose a safety-critical performance-guaranteed trajectory tracking method based on control barrier functions (CBFs). First, an auxiliary system is established to generate the non-negative signals for inflexible bounds such that the performance constraints are not violated when avoiding obstacles. Next, the desired guidance laws are devised to evolve tracking errors within performance space by the error transformation technique. Then, a position-heading CBF based on a heading collision-free principle is developed. Under the CBF framework, the safety-critical angle speed guidance law is solved by a quadratic program with respect to position-heading CBF constraints. It is proved that all errors can converge and evolve within a prescribed performance space, and the closed-loop system is ensured to be safe. Finally, simulation and experiment results are given to verify the effectiveness and feasibility of the proposed control scheme.
期刊介绍:
The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control.
Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.