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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zeng, G. Hemami, A. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. of Electr. Eng., Ecole Polytech. de Montreal, Que., Canada (Zeng, G.) |
| Abstract | Automation of a cutting process requires a system that is able to perform a planned cutting work irrespective of the interaction forces experienced during this process. For a robotic cutter the controller must adjust the applied force exerted on the material to be cut, while complying with unknown environment restrictions and disturbances. In this paper the problem of cutting a media by a blade is investigated. Based on a learning philosophy and position and velocity errors feedback an algorithm for the control of such a process is presented. An adaptive position controller and a switching logical velocity controller ensure the cutting operation is performed along a desired path with a desired velocity, while a learning control strategy is employed to adjust the required cutting force. The latter is a force learning algorithm which uses the force feedback. The effectiveness of the presented control system is demonstrated by simulation results. |
| Starting Page | 22 |
| Ending Page | 27 |
| File Size | 515864 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780336127 |
| DOI | 10.1109/ROBOT.1997.620010 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-04-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive control Force control Velocity control Robotics and automation Force feedback Automatic control Robot control Blades Error correction Programmable control |
| Content Type | Text |
| Resource Type | Article |
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