Embedding detailed robot energy optimization into high-level scheduling
Paper i proceeding, 2010

Reduction of energy consumption is important for reaching a sustainable future. This paper presents a novel method for optimizing the energy consumption of robotic manufacturing systems. The method embeds detailed evaluations of robots' energy consumptions into a scheduling model of the overall system. The energy consumption for each operation is modelled and parameterized as function of the operation execution time, and the energy-optimal schedule is derived by solving a mixed-integer nonlinear programming problem. The objective function for the optimization problem is then the total energy consumption for the overall system. A case study of a sample robotic manufacturing system is presented. It shows that there exists a possibility for a significant reduction of the energy consumption, in comparison to state-of-the-art scheduling approaches. © 2010 IEEE.

Författare

Alberto Vergnano

Universita Degli Studi Di Modena E Reggio Emilia

Carl Thorstensson

Chalmers, Signaler och system, System- och reglerteknik, Automation

Bengt Lennartson

Chalmers, Signaler och system, System- och reglerteknik, Automation

Petter Falkman

Chalmers, Signaler och system, System- och reglerteknik, Automation

M. Pellicciari

Universita Degli Studi Di Modena E Reggio Emilia

Chengyin Yuan

General Motors

S. Biller

General Motors

F. Leali

Universita Degli Studi Di Modena E Reggio Emilia

2010 IEEE International Conference on Automation Science and Engineering, CASE 2010

386-392

Ämneskategorier

Data- och informationsvetenskap

Styrkeområden

Produktion

DOI

10.1109/COASE.2010.5584686

ISBN

978-142445447-1