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An approach to optimal semi-active control of vibration energy harvesting based on MEMS
- Source :
- Mechanical Systems and Signal Processing. 107:291-316
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 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.
- Subjects :
- 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
0209 industrial biotechnology
Computer science
Capacitive sensing
Aerospace Engineering
02 engineering and technology
Upper and lower bounds
Energy storage
020901 industrial engineering & automation
0203 mechanical engineering
Hardware_GENERAL
Control theory
Absorption (electromagnetic radiation)
Civil and Structural Engineering
Mechanical Engineering
Optimal control
Computer Science Applications
Vibration
020303 mechanical engineering & transports
Control and Systems Engineering
Signal Processing
Energy harvesting
Energy (signal processing)
Subjects
Details
- ISSN :
- 08883270
- Volume :
- 107
- Database :
- OpenAIRE
- Journal :
- Mechanical Systems and Signal Processing
- Accession number :
- edsair.doi.dedup.....878a9c0d0b5b2b5c01cb5bf70b6b09a9