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Input Decoupling of Lagrangian Systems via Coordinate Transformation: General Characterization and Its Application to Soft Robotics

Pietro Pustina, Cosimo Della Santina, Frédéric Boyer, Alessandro De Luca, Federico Renda

2024IEEE Transactions on Robotics14 citationsDOIOpen Access PDF

Abstract

Suitable representations of dynamical systems can simplify their analysis and control. On this line of thought, this paper aims to answer the following question: <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Can a transformation of the generalized coordinates under which the actuators directly perform work on a subset of the configuration variables be found?</i> Not only we show that the answer to this question is <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">yes</i> , but we also provide necessary and sufficient conditions. More specifically, we look for a representation of the configuration space such that the right-hand side of the dynamics in Euler-Lagrange form becomes [ <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IO</i> ] <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t</sup> u, being u the system input. We identify a class of systems, called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">collocated</i> , for which this problem is solvable. Under mild conditions on the input matrix, a simple test is presented to verify whether a system is collocated or not. By exploiting power invariance, we provide necessary and sufficient conditions that a change of coordinates decouples the input channels if and only if the dynamics is collocated. In addition, we use the collocated form to derive novel controllers for damped underactuated mechanical systems. To demonstrate the theoretical findings, we consider several Lagrangian systems with a focus on continuum soft robots.

Topics & Concepts

Decoupling (probability)RoboticsArtificial intelligenceCoordinate systemSoft roboticsLagrangianCharacterization (materials science)Transformation (genetics)Computer scienceControl engineeringEngineeringControl theory (sociology)RobotMathematicsApplied mathematicsNanotechnologyMaterials scienceControl (management)GeneBiochemistryChemistrySoft Robotics and ApplicationsRobot Manipulation and LearningModular Robots and Swarm Intelligence
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