Concurrent energy efficiency optimization of multi-axis positioning tasks

authored by

Christian Hansen, Kai Eggers, Jens Kotlarski, Tobias Ortmaier

Abstract

Positioning tasks of multi-axis servo drive mechanisms typically lead to high energy demands, especially if lossy operating points are applied and/or recuperated break energy, e. g. during deceleration phases, is not effectively reused. A trajectory optimization approach based on the particle swarm algorithm is presented for the adaption of multi-axis positioning tasks during system run-time. Established path planning methods (including the possibility of minimum time motion) are applied, that are adapted by only two parameters per axis and positioning task. In this manner, idle-times that often exist between the motion cycles and/or energy exchange via coupled inverter DC-links are utilized to reduce energy demands and improve system efficiency. In contrast to existing offline trajectory optimization procedures, the method is able to adapt changing motion tasks during system run-time within only few movement cycles. Experimental results prove that, depending on the use case and the chosen optimization constraints, energy losses are effectively reduced, brake chopper dissipation often is even completely avoidable and, hence, total energy demands are distinctly reduced. The approach is applicable to different multi-axis configurations and enables to considerable energy savings without additional hardware invest.

Organisation(s)

Institute of Mechatronic Systems

Type

Conference contribution

Pages

518-525

No. of pages

8

Publication date

20.11.2015

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Industrial and Manufacturing Engineering, Electrical and Electronic Engineering

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Electronic version(s)

https://doi.org/10.1109/iciea.2015.7334167 (Access: Closed)