{"title":"机械臂无加速度测量耗散扰动观测器","authors":"Seonwoo Kim;Chanwoo Kim;Yeonho Ko;Daehie Hong","doi":"10.1109/LRA.2025.3564205","DOIUrl":null,"url":null,"abstract":"In this letter, we propose an Acceleration Measurement-Free Dissipative Disturbance Observer (AFDDO) for robotic manipulators, designed to estimate external disturbances robustly without requiring angular acceleration measurements and matrix inversion. By leveraging dissipativity theory, the AFDDO achieves enhanced robustness and stability against fast-varying disturbances. A linear matrix inequality (LMI)-based approach is employed for observer gain tuning, enabling efficient computation and control of observer bandwidth. Unlike conventional methods, the AFDDO eliminates the need for matrix inversion and utilizes generalized momentum to maintain an acceleration measurement-free condition. The proposed observer was validated through simulations and experiments using a mini-hydraulic excavator, demonstrating superior performance in disturbance estimation compared to existing nonlinear disturbance observers.","PeriodicalId":13241,"journal":{"name":"IEEE Robotics and Automation Letters","volume":"10 6","pages":"5999-6006"},"PeriodicalIF":4.6000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Acceleration Measurement-Free Dissipative Disturbance Observer for Robotic Manipulators\",\"authors\":\"Seonwoo Kim;Chanwoo Kim;Yeonho Ko;Daehie Hong\",\"doi\":\"10.1109/LRA.2025.3564205\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this letter, we propose an Acceleration Measurement-Free Dissipative Disturbance Observer (AFDDO) for robotic manipulators, designed to estimate external disturbances robustly without requiring angular acceleration measurements and matrix inversion. By leveraging dissipativity theory, the AFDDO achieves enhanced robustness and stability against fast-varying disturbances. A linear matrix inequality (LMI)-based approach is employed for observer gain tuning, enabling efficient computation and control of observer bandwidth. Unlike conventional methods, the AFDDO eliminates the need for matrix inversion and utilizes generalized momentum to maintain an acceleration measurement-free condition. The proposed observer was validated through simulations and experiments using a mini-hydraulic excavator, demonstrating superior performance in disturbance estimation compared to existing nonlinear disturbance observers.\",\"PeriodicalId\":13241,\"journal\":{\"name\":\"IEEE Robotics and Automation Letters\",\"volume\":\"10 6\",\"pages\":\"5999-6006\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Robotics and Automation Letters\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10976407/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Robotics and Automation Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10976407/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ROBOTICS","Score":null,"Total":0}
Acceleration Measurement-Free Dissipative Disturbance Observer for Robotic Manipulators
In this letter, we propose an Acceleration Measurement-Free Dissipative Disturbance Observer (AFDDO) for robotic manipulators, designed to estimate external disturbances robustly without requiring angular acceleration measurements and matrix inversion. By leveraging dissipativity theory, the AFDDO achieves enhanced robustness and stability against fast-varying disturbances. A linear matrix inequality (LMI)-based approach is employed for observer gain tuning, enabling efficient computation and control of observer bandwidth. Unlike conventional methods, the AFDDO eliminates the need for matrix inversion and utilizes generalized momentum to maintain an acceleration measurement-free condition. The proposed observer was validated through simulations and experiments using a mini-hydraulic excavator, demonstrating superior performance in disturbance estimation compared to existing nonlinear disturbance observers.
期刊介绍:
The scope of this journal is to publish peer-reviewed articles that provide a timely and concise account of innovative research ideas and application results, reporting significant theoretical findings and application case studies in areas of robotics and automation.