Obsidian/200 Library Papers/farzanRobustControlSynthesis2020.md

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false Robust Control Synthesis and Verification for Wire-Borne Underactuated Brachiating Robots Using Sum-of-Squares Optimization 2020
Farzan, Siavash
Hu, Ai-Ping
Bick, Michael
Rogers, Jonathan
farzanRobustControlSynthesis2020 7744-7751

Indexing Information

DOI

10.1109/IROS45743.2020.9341348

ISBN

Tags:

#Actuators, #Cable-TV, #Feedback-control, #Optimization, #Parametric-statistics, #Trajectory, #Uncertainty

[!Abstract] Control of wire-borne underactuated brachiating robots requires a robust feedback control design that can deal with dynamic uncertainties, actuator constraints and unmeasurable states. In this paper, we develop a robust feedback control for brachiating on flexible cables, building on previous work on optimal trajectory generation and time-varying LQR controller design. We propose a novel simplified model for approximation of the flexible cable dynamics, which enables inclusion of parametric model uncertainties in the system. We then use semidefinite programming (SDP) and sum-of-squares (SOS) optimization to synthesize a time-varying feedback control with formal robustness guarantees to account for model uncertainties and unmeasurable states in the system. Through simulation, hardware experiments and comparison with a time-varying LQR controller, it is shown that the proposed robust controller results in relatively large robust backward reachable sets and is able to reliably track a pre-generated optimal trajectory and achieve the desired brachiating motion in the presence of parametric model uncertainties, actuator limits, and unobservable states.

[!note] Markdown Notes None!

[!seealso] Related Papers

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Imported: 2024-10-16 10:34 am