Embedding detailed robot energy optimization into high-level scheduling
Alberto Vergnano, Carl Thorstensson, Bengt Lennartson, Petter Falkman, Marcello Pellicciari, Chengyin Yuan, Stephan Biller, Francesco Leali
- Year
- 2010
- Citations
- 38
Abstract
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.
Keywords
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