Optimal control strategies for efficient energy harvesting from ambient vibration
Name
Hosseinloo2015hz.pdf
Description
Accepted version
Size
1.69 MB
Format
Adobe PDF
Checksum (MD5)
e72377add15cf88198d01be354cbb212
Author(s)
Hosseinloo, Ashkan Haji
Vu, Thanh Long
Turitsyn, Konstantin
Date Issued
December 2015
Publisher
IEEE
Citation
A. H. Hosseinloo, T. L. Vu and K. Turitsyn, "Optimal control strategies for efficient energy harvesting from ambient vibration," 2015 54th IEEE Conference on Decision and Control (CDC), Osaka, Japan, 2015, pp. 5391-5396.
Version
Author's final manuscript
Abstract
Ease of miniaturization and minimal maintenance are among the advantages for replacing conventional batteries with vibratory energy harvesters in a wide of range of disciplines and applications, from wireless communication sensors to medical implants. However, the current harvesters do not extract energy from the ambient vibrations in a very efficient and robust fashion, and hence, there need to be more optimal harvesting approaches. In this paper, we introduce a generic architecture for vibration energy harvesting and delineate the key challenges in the field. Then, we formulate an optimal control problem to maximize the harvested energy. Though possessing similar structure to that of the standard LQG problem, this optimal control problem is inherently different from the LQG problem and poses theoretical challenges to control community. As the first step, we simplify it to a tractable problem of optimizing control gains for a linear system subjected to Gaussian white noise excitation, and show that this optimal problem has non-trivial optimal solutions in both time and frequency domains.
Description
2015 54th IEEE Conference on Decision and Control (CDC), Osaka Japan
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1109/cdc.2015.7403063
