Global task-space adaptive control of robot
Task-space feedback information such as visual feedback is used in many modern robot control systems as it improves robustness to model uncertainty. However, existing task-space feedback control schemes are only valid locally in a finite task space within a limited sensing zone where the singularity...
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| 格式: | Journal Article |
| 语言: | English |
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2014
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| 在线阅读: | https://hdl.handle.net/10356/105275 http://hdl.handle.net/10220/20655 http://dx.doi.org/10.1016/j.automatica.2012.07.003 |
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| author | Li, Xiang Cheah, Chien Chern |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Li, Xiang Cheah, Chien Chern |
| author_sort | Li, Xiang |
| collection | NTU |
| description | Task-space feedback information such as visual feedback is used in many modern robot control systems as it improves robustness to model uncertainty. However, existing task-space feedback control schemes are only valid locally in a finite task space within a limited sensing zone where the singularity of the Jacobian matrix can be avoided. The global stability problem of task-space control system has not been systemically solved. In this paper, we introduce a novel regional feedback method for robot task-space control. Each feedback information is employed in a local region, and the combination of regional information ensures the global convergence of robot motion. The transition from one feedback information to another is embedded in the controllers without using any hard or discontinuous switching. Using the regional feedback, a new task-space control method is proposed, which consists of a reaching task variable that drives the robot from one task space to another and a desired task variable to move the robot to the desired position at the ending stage. We shall show that the proposed regional feedback control method is a united formulation to address various open issues in task-space control problems such as singularity problem and limited sensing zone. This is the first result in task-space control that the global dynamic stability can be guaranteed with the consideration of singularity issues and limited sensing zones. |
| first_indexed | 2024-10-01T06:04:12Z |
| format | Journal Article |
| id | ntu-10356/105275 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:04:12Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/1052752019-12-06T21:48:36Z Global task-space adaptive control of robot Li, Xiang Cheah, Chien Chern School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Task-space feedback information such as visual feedback is used in many modern robot control systems as it improves robustness to model uncertainty. However, existing task-space feedback control schemes are only valid locally in a finite task space within a limited sensing zone where the singularity of the Jacobian matrix can be avoided. The global stability problem of task-space control system has not been systemically solved. In this paper, we introduce a novel regional feedback method for robot task-space control. Each feedback information is employed in a local region, and the combination of regional information ensures the global convergence of robot motion. The transition from one feedback information to another is embedded in the controllers without using any hard or discontinuous switching. Using the regional feedback, a new task-space control method is proposed, which consists of a reaching task variable that drives the robot from one task space to another and a desired task variable to move the robot to the desired position at the ending stage. We shall show that the proposed regional feedback control method is a united formulation to address various open issues in task-space control problems such as singularity problem and limited sensing zone. This is the first result in task-space control that the global dynamic stability can be guaranteed with the consideration of singularity issues and limited sensing zones. ASTAR (Agency for Sci., Tech. and Research, S’pore) Accepted version 2014-09-12T05:22:41Z 2019-12-06T21:48:36Z 2014-09-12T05:22:41Z 2019-12-06T21:48:36Z 2012 2012 Journal Article Li, X., & Cheah, C. C. (2013). Global task-space adaptive control of robot. Automatica, 49(1), 58-69. 0005-1098 https://hdl.handle.net/10356/105275 http://hdl.handle.net/10220/20655 http://dx.doi.org/10.1016/j.automatica.2012.07.003 en Automatica © 2012 Elsevier Ltd. This is the author created version of a work that has been peer reviewed and accepted for publication by Automatica, Elsevier Ltd. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.automatica.2012.07.003]. application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering Li, Xiang Cheah, Chien Chern Global task-space adaptive control of robot |
| title | Global task-space adaptive control of robot |
| title_full | Global task-space adaptive control of robot |
| title_fullStr | Global task-space adaptive control of robot |
| title_full_unstemmed | Global task-space adaptive control of robot |
| title_short | Global task-space adaptive control of robot |
| title_sort | global task space adaptive control of robot |
| topic | DRNTU::Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/105275 http://hdl.handle.net/10220/20655 http://dx.doi.org/10.1016/j.automatica.2012.07.003 |
| work_keys_str_mv | AT lixiang globaltaskspaceadaptivecontrolofrobot AT cheahchienchern globaltaskspaceadaptivecontrolofrobot |