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arXiv · 1804.00311

Trajectory Optimization of Robots with Regenerative Drive Systems: Numerical and Experimental Results

Poya Khalaf·Hanz Richter
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Abstract

We investigate energy-optimal control of robots with ultracapacitor based regenerative drive systems. Based on a previously introduced framework, a fairly generic model is considered for the robot and the drive system. An optimal control problem is formulated to find point-to point trajectories maximizing the amount of energy regenerated and stored in the capacitor. The optimization problem, its numerical solution and an experimental evaluation are demonstrated using a PUMA 560 manipulator. A comprehensive experimental setup was prepared to evaluate power flows and energy regeneration. Tracking of optimal trajectories was enforced on the robot using a standard robust passivity based control approach. Experimental results show that when following optimal trajectories, a reduction of about 13\% in energy consumption can be achieved for the conditions of the study.

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Poya Khalaf, Hanz Richter. 2018-04-01. Trajectory Optimization of Robots with Regenerative Drive Systems: Numerical and Experimental Results. https://arxiv.org/abs/1804.00311

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