Abstract
This paper develops an electromagnet-based position estimation system for a cm-scale robot with two degrees of freedom. The orientation of an external electromagnet is actively controlled in realtime to maximize the magnetic field magnitude at the robot. This results in a monotonic relationship between the magnetic field magnitude and radial distance leading to a simple and robust position estimation system. The radial distance is then estimated using an asymptotically stable nonlinear observer designed using a linear matrix inequality. The analytical principles of the estimation system are first presented using key technical lemmas and proofs. Experimental results are then presented on the verification of the analytical principles and on the performance of the position estimation system.
Original language | English (US) |
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Pages (from-to) | 394-399 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 55 |
Issue number | 37 |
DOIs | |
State | Published - 2022 |
Event | 2nd Modeling, Estimation and Control Conference, MECC 2022 - Jersey City, United States Duration: Oct 2 2022 → Oct 5 2022 |
Bibliographical note
Funding Information:This work was funded in part by a research grant from the National Science Foundation (NSF Grant EFMA 1830958).
Publisher Copyright:
© 2022 Elsevier B.V.. All rights reserved.
Keywords
- magnetic position sensing
- nonlinear observer
- position estimation
- robot position