Adaptive Passivity-Based Pose Tracking Control of Cable-Driven Parallel Robots for Multiple Attitude Parameterizations

TL;DR

This paper introduces an adaptive passivity-based control method for cable-driven parallel robots that ensures robust pose tracking across various attitude parameterizations, demonstrated through numerical simulations.

Contribution

It presents a novel control approach that is adaptable to multiple attitude representations, enhancing robustness and stability in CDPR pose control.

Findings

Controller guarantees robust closed-loop stability.

Effective across different attitude parameterizations.

Numerical simulations confirm improved tracking performance.

Abstract

The proposed control method uses an adaptive feedforward-based controller to establish a passive input-output mapping for the CDPR that is used alongside a linear time-invariant strictly positive real feedback controller to guarantee robust closed-loop input-output stability and asymptotic pose trajectory tracking via the passivity theorem. A novelty of the proposed controller is its formulation for use with a range of payload attitude parameterizations, including any unconstrained attitude parameterization, the quaternion, or the direction cosine matrix (DCM). The performance and robustness of the proposed controller is demonstrated through numerical simulations of a CDPR with rigid and flexible cables. The results demonstrate the importance of carefully defining the CDPR's pose error, which is performed in multiplicative fashion when using the quaternion and DCM, and in a specific additive fashion when using unconstrained attitude parameters (e.g., an Euler-angle sequence).