Equivariant Tracking Control for Fully Actuated Mechanical Systems on Matrix Lie Groups
Matthew Hampsey, Pieter van Goor, Ravi Banavar, Robert Mahony

TL;DR
This paper introduces a novel Lie group-based framework for trajectory tracking control of fully actuated mechanical systems, leveraging Lie-Poisson structures and energy shaping methods for improved control design.
Contribution
It presents a new representation of Lie-Poisson systems as left-invariant systems on semi-direct Lie groups, enabling the development of invariant tracking errors and control strategies.
Findings
Successful attitude tracking control demonstration
Invariant error dynamics with time-varying inertia
Novel Lie group-based control design methodology
Abstract
Mechanical control systems such as aerial, marine, space, and terrestrial robots often naturally admit a state-space that has the structure of a Lie group. The kinetic energy of such systems is commonly invariant to the induced action by the Lie group, and the system dynamics can be written as a coupled ordinary differential equation on the group and the dual space of its Lie algebra, termed a Lie-Poisson system. In this paper, we show that Lie-Poisson systems can also be written as a left-invariant system on a semi-direct Lie group structure placed on the trivialised cotangent bundle of the symmetry group. The authors do not know of a prior reference for this observation and we are confident the insight has never been exploited in the context of tracking control. We use this representation to build a right-invariant tracking error for the full state of a Lie-Poisson mechanical system…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsControl and Stability of Dynamical Systems · Control and Dynamics of Mobile Robots · Adaptive Control of Nonlinear Systems
