Reference State Trajectory Generation for Output Tracking with Constraints using Search Trees

This paper generates a reference state trajectory from a given reference output trajectory for redundant nonlinear affine dynamic systems subject to input, state and output constraints. Extending upon the expansive search tree (EST) methodology, a new probabilistic sampling method is proposed to add...

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Bibliographic Details
Published in:2018 Annual American Control Conference (ACC) pp. 4682 - 4687
Main Authors: Eden, Jonathan, Ying Tan, Lau, Darwin, Oetomo, Denny
Format: Conference Proceeding
Language:English
Published: AACC 01.06.2018
Subjects:
End effectors
Null space
Power cables
Probability distribution
System dynamics
Trajectory
ISSN:2378-5861
Online Access:Get full text
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Summary:This paper generates a reference state trajectory from a given reference output trajectory for redundant nonlinear affine dynamic systems subject to input, state and output constraints. Extending upon the expansive search tree (EST) methodology, a new probabilistic sampling method is proposed to address time dependence and output mappings. It is shown that the methodology is able to find a feasible solution given constraints, if such a solution exists. The use of the proposed methodology is illustrated by considering the end effector tracking of a multi-link cable-driven parallel robot.
ISSN:2378-5861
DOI:10.23919/ACC.2018.8431058