The chapter tackles the issue of improving the robustness of mechatronic systems. In particular, the chapter highlights the need to operate at two levels, in order to accomplish both the mechatronic system conceptual architecture and the mechatronic parameter design. Then, the chapter gives evidence to the criticalities in operating at conceptual level and some tools for the evaluation of the variability of system performances. The approach presented in the chapter is then applied to an automotive power windows system. The recognition of the most significant design parameters within the mechatronic system and the understanding of their variations allow the conscious identification of system configuration that assures the minimal variation of system response under the effects of noise factors.

Improving the Robustness of Mechatronic Systems / Lanzotti Antonio, Patalano Stanislao. - (2016), pp. 113-128. [10.1007/978-3-319-32156-1]

Improving the Robustness of Mechatronic Systems

2016

Abstract

The chapter tackles the issue of improving the robustness of mechatronic systems. In particular, the chapter highlights the need to operate at two levels, in order to accomplish both the mechatronic system conceptual architecture and the mechatronic parameter design. Then, the chapter gives evidence to the criticalities in operating at conceptual level and some tools for the evaluation of the variability of system performances. The approach presented in the chapter is then applied to an automotive power windows system. The recognition of the most significant design parameters within the mechatronic system and the understanding of their variations allow the conscious identification of system configuration that assures the minimal variation of system response under the effects of noise factors.
2016
978-3-319-32154-7
Improving the Robustness of Mechatronic Systems / Lanzotti Antonio, Patalano Stanislao. - (2016), pp. 113-128. [10.1007/978-3-319-32156-1]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/670795
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