Adaptive Admittance Control for Human–Robot Interaction Using Model Reference Design and Adaptive Inverse Filtering
| Autor: | Shaikh M. Tousif, Dan O. Popa, Frank L. Lewis, Isura Ranatunga |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Computer science Reference design 020208 electrical & electronic engineering Robot controller Inverse Control engineering 02 engineering and technology Performance objective Human–robot interaction Robot control 020901 industrial engineering & automation Robotic systems Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Robot Electrical and Electronic Engineering |
| Zdroj: | IEEE Transactions on Control Systems Technology. 25:278-285 |
| ISSN: | 1558-0865 1063-6536 |
| DOI: | 10.1109/tcst.2016.2523901 |
| Popis: | Corobotics involves humans and robots working collaboratively as a team. This requires physical human-robot interaction (pHRI) systems that can adapt to the preferences of different humans and have good robustness and stability properties. In this brief, a new inner-loop/outer-loop robot controller formulation is developed that makes pHRI robust to changes in both corobot and human user. First, an inner-loop controller with guaranteed robustness and stability causes a robot to behave like a prescribed admittance model. Second, an outer-loop controller tunes the admittance model so that the robot system assists humans with varying levels of skill to achieve task-specific objectives. This design technique cleanly separates robot-specific control from task performance objectives and allows formal inclusion in an outer design of both an ideal task model and unknown human operator dynamics. Experimental results with the controllers running on a PR2 robot demonstrate the effectiveness of this approach. |
| Databáze: | OpenAIRE |
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