In this paper the energy harvesting problem involving typical MEMS technology is reduced to an optimal control problem, where the objective function is the absorption of the maximum amount of energy in a given time interval from a vibrating environment. The interest here is to identify a physical upper bound for this energy storage. The mathematical tool is a new optimal control called Krotov's method, that has not yet been applied to engineering problems, except in quantum dynamics. This approach leads to identify new maximum bounds to the energy harvesting performance. Novel MEMS-based device control configurations for vibration energy harvesting are proposed with particular emphasis to piezoelectric, electromagnetic and capacitive circuits.

An approach to optimal semi-active control of vibration energy harvesting based on MEMS / DIAZ HERNANDEZ ROJAS, RAFAEL ALBERTO; Carcaterra, Antonio. - In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING. - ISSN 0888-3270. - 107:(2018), pp. 291-316. [10.1016/j.ymssp.2017.11.005]

An approach to optimal semi-active control of vibration energy harvesting based on MEMS

Carcaterra, Antonio
2018

Abstract

In this paper the energy harvesting problem involving typical MEMS technology is reduced to an optimal control problem, where the objective function is the absorption of the maximum amount of energy in a given time interval from a vibrating environment. The interest here is to identify a physical upper bound for this energy storage. The mathematical tool is a new optimal control called Krotov's method, that has not yet been applied to engineering problems, except in quantum dynamics. This approach leads to identify new maximum bounds to the energy harvesting performance. Novel MEMS-based device control configurations for vibration energy harvesting are proposed with particular emphasis to piezoelectric, electromagnetic and capacitive circuits.
2018
energy harvesting; MEMS; optimal control theory; semi-active control; vibration; control and systems engineering; signal processing; civil and structural engineering; aerospace engineering; mechanical engineering; computer science applications1707 computer vision and pattern recognition
01 Pubblicazione su rivista::01a Articolo in rivista
An approach to optimal semi-active control of vibration energy harvesting based on MEMS / DIAZ HERNANDEZ ROJAS, RAFAEL ALBERTO; Carcaterra, Antonio. - In: MECHANICAL SYSTEMS AND SIGNAL PROCESSING. - ISSN 0888-3270. - 107:(2018), pp. 291-316. [10.1016/j.ymssp.2017.11.005]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1086477
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