Inverse dynamics in underactuated, non-minimum phase multibody systems is addressed in this paper by means of the challenging example of a gantry crane driving a spatial double pendulum. The latter consists of a pendulum plus a spatial rigid body attached to the pendulum terminal mass. The reference to be tracked is imposed to the two planar Cartesian coordinates of the rigid-body tip, while the actuated coordinates are those of the trolley. Because of underactuation and non-flat property of the system, inverse dynamics relies on a mixed algebraic and differential scheme. Additionally, this input-output configuration leads to a system with an unstable internal dynamic, whose integration cannot be done unless stabilization is performed. By exploiting the concept of output redefinition, i.e., by assuming a fictitious output in the internal dynamics equations, stabilization is performed, while ensuring excellent tracking performances. Numerical simulations proof the method effectiveness.

Inverse Dynamics for Feedforward Control of an Underactuated 6-DOF Gantry Crane

Bettega J.;Richiedei D.;Tamellin I.;Trevisani A.
2024

Abstract

Inverse dynamics in underactuated, non-minimum phase multibody systems is addressed in this paper by means of the challenging example of a gantry crane driving a spatial double pendulum. The latter consists of a pendulum plus a spatial rigid body attached to the pendulum terminal mass. The reference to be tracked is imposed to the two planar Cartesian coordinates of the rigid-body tip, while the actuated coordinates are those of the trolley. Because of underactuation and non-flat property of the system, inverse dynamics relies on a mixed algebraic and differential scheme. Additionally, this input-output configuration leads to a system with an unstable internal dynamic, whose integration cannot be done unless stabilization is performed. By exploiting the concept of output redefinition, i.e., by assuming a fictitious output in the internal dynamics equations, stabilization is performed, while ensuring excellent tracking performances. Numerical simulations proof the method effectiveness.
2024
Lecture Notes in Networks and Systems
3rd International Symposium on Industrial Engineering and Automation, ISIEA 2024
9783031704642
9783031704659
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3549845
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