Embedding detailed robot energy optimization into high-level scheduling
Paper in proceedings, 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.

Author

Alberto Vergnano

Universita Degli Studi Di Modena E Reggio Emilia

Carl Thorstensson

Chalmers, Signals and Systems, Systems and control, Automation

Bengt Lennartson

Chalmers, Signals and Systems, Systems and control, Automation

Petter Falkman

Chalmers, Signals and Systems, Systems and control, 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

Subject Categories

Computer and Information Science

Areas of Advance

Production

DOI

10.1109/COASE.2010.5584686

ISBN

978-142445447-1

More information

Latest update

9/6/2018 1