Title :
Improving machining accuracy with robot deformation compensation
Author :
Wang, Jianjun ; Zhang, Hui ; Fuhlbrigge, Thomas
Author_Institution :
Corp. Res. Center, ABB Inc., Windsor, CT, USA
Abstract :
Industrial robots offer a cheaper yet more flexible alternative to the CNC machines in the cleaning and pre-machining applications of automotive aluminum castings. But the low stiffness has limited the application of industrial robots to the machining tasks with very low precision requirement. This paper presents a practical method to compensate the robot deformation caused by the machining force. A constant joint stiffness model based feed forward compensation scheme is implemented in the robot controller. The compensation scheme is shown to be able to reduce the position error by more than 60%. Application test in milling a standard aluminum block has demonstrated the effectiveness of the proposed deformation compensation method. The surface error is reduced from 0.5 mm to 0.1 mm.
Keywords :
aluminium industry; automotive components; casting; compensation; computerised numerical control; feedforward; industrial robots; machining; CNC machines; automotive aluminum castings; cleaning applications; constant joint stiffness model; feed forward compensation scheme; industrial robots; machining accuracy; pre-machining applications; robot deformation compensation; Aluminum; Automotive engineering; Casting; Cleaning; Computer numerical control; Feeds; Machining; Metals industry; Robot control; Service robots;
Conference_Titel :
Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-3803-7
Electronic_ISBN :
978-1-4244-3804-4
DOI :
10.1109/IROS.2009.5353988