This paper considers techniques for harvesting energy from vibratory loadings that can be characterized by low-frequency alternations between a minimum and maximum force magnitude. In such cases, it may be impossible to tune the harvester to resonate in the frequency band of the excitation due to constraints on the mass and transducer displacement. Here, we consider the case in which the harvester’s transient dynamics are characterized by a natural period, which is orders of magnitude below the fundamental period of the disturbance and which undergoes significant decay in between load alternations. In this case, the damped vibration of the harvester induced by each load alternation may be viewed as an isolated transient response. For such problems, we consider the optimization of generated power through the use of an active power-electronic drive to explicitly regulate transducer current according to an optimized feedback law. The analysis accounts for both mechanical and electrical losses in the harvester, as well as dissipation in the electronics. It also accounts for the static power necessary to operate the control intelligence and gate the drive transistors. We show that the optimal feedback law is, in general, a time-varying linear controller. Further, we show that following the leading edge of each load alternation, there is an optimal time horizon over which to operate the electronic conversion system beyond which the energy expended on static power exceeds the remaining energy recoverable from the dynamic response of the harvester. The analytical derivation of the controller is done generally and is shown to simplify to easily computable closed-form solutions in a number of simple cases. Analytical and simulation results are related to an experimental energy harvesting system involving a single degree-of-freedom electromagnetic transducer.

1.
Anton
,
S. R.
, and
Sodano
,
H. A.
, 2007, “
A Review of Power Harvesting Using Piezoelectric Materials (2003–2006)
,”
Smart Mater. Struct.
0964-1726,
16
, pp.
R1
R21
.
2.
2009,
Energy Harvesting Technologies
,
S.
Priya
and
D. J.
Inman
, eds.,
Springer
,
New York
.
3.
Roundy
,
S.
,
Wright
,
P. K.
, and
Rabaey
,
J.
, 2003, “
A Study of Low Level Vibrations as a Power Source for Wireless Sensor Nodes
,”
Comput. Commun.
0140-3664,
26
, pp.
1131
1144
.
4.
Kasyap
,
A.
,
Lim
,
J.
,
Johnson
,
D.
,
Horowitz
,
S.
,
Nishida
,
T.
,
Ngo
,
K.
,
Sheplak
,
M.
, and
Cattafesta
,
L.
, 2002, “
Energy Reclamation From a Vibrating Piezoceramic Composite Beam
,”
Ninth International Congress on Sound and Vibration
, Orlando, FL.
5.
Ottman
,
G. K.
,
Hofmann
,
H. F.
, and
Lesieutre
,
G. A.
, 2003, “
Optimized Piezoelectric Energy Harvesting Circuit Using Step-Down Converter in Discontinuous Conduction Mode
,”
IEEE Trans. Power Electron.
0885-8993,
18
, pp.
696
703
.
6.
Lefeuvre
,
E.
,
Audigier
,
D.
,
Richard
,
C.
, and
Guyomar
,
D.
, 2007, “
Buck-Boost Converter for Sensorless Power Optimization of Piezoelectric Energy Harvester
,”
IEEE Trans. Power Electron.
0885-8993,
22
, pp.
2018
2025
.
7.
Kong
,
N.
,
Ha
,
D. S.
,
Erturk
,
A.
, and
Inman
,
D. J.
, 2010, “
Resistive Impedance Matching Circuit for Piezoelectric Energy Harvesting
,”
J. Intell. Mater. Syst. Struct.
1045-389X, in press.
8.
Liu
,
Y.
,
Tian
,
G.
,
Wang
,
Y.
,
Lin
,
J.
,
Zhang
,
Q.
, and
Hofmann
,
H. F.
, 2009, “
Active Piezoelectric Energy Harvesting: General Principle and Experimental Demonstration
,”
J. Intell. Mater. Syst. Struct.
1045-389X,
20
, pp.
575
585
.
9.
Scruggs
,
J. T.
, 2010, “
On the Causal Power Generation Limit for a Vibratory Energy Harvester in Broadband Stochastic Response
,”
J. Intell. Mater. Syst. Struct.
1045-389X, in press.
10.
Stephen
,
N. G.
, 2006, “
On the Maximum Power Transfer Theorem Within Electromechanical Systems
,”
J. Mech. Eng. Sci.
0022-2542,
220
, pp.
1261
1267
.
11.
Nakano
,
K.
,
Elliott
,
S. J.
, and
Rustighi
,
E.
, 2007, “
A Unified Approach to Optimal Conditions of Power Harvesting Using Electromagnetic and Piezoelectric Transducers
,”
Smart Mater. Struct.
0964-1726,
16
, pp.
948
958
.
12.
Renno
,
J. M.
,
Daqaq
,
M. F.
, and
Inman
,
D. J.
, 2009, “
On the Optimal Energy Harvesting From a Vibration Source
,”
J. Sound Vib.
0022-460X,
320
(
1–2
), pp.
386
405
.
13.
Liang
,
J. R.
, and
Liao
,
W. H.
, 2010, “
Impedance Matching for Improving Piezoelectric Energy Harvesting Systems
,”
SPIE Smart Structures and Materials Conference
, San Diego, CA.
14.
Halvorsen
,
E.
, 2008, “
Energy Harvesters Driven by Broadband Random Vibrations
,”
J. Microelectromech. Syst.
1057-7157,
17
(
5
), pp.
1061
1071
.
15.
Scruggs
,
J. T.
, 2009, “
An Optimal Stochastic Control Theory for Distributed Energy Harvesting Networks
,”
J. Sound Vib.
0022-460X,
320
, pp.
707
725
.
16.
Adhikari
,
S.
,
Friswell
,
M. I.
, and
Inman
,
D. J.
, 2009, “
Piezoelectric Energy Harvesting From Broadband Random Vibrations
,”
Smart Mater. Struct.
0964-1726,
18
, p.
115005
.
17.
Lozano-Leal
,
R.
, and
Joshi
,
S. M.
, 1988, “
On the Design of Dissipative LQG Type Controller
,”
IEEE Conference on Decision and Control
, Austin, TX.
18.
Ward
,
J. K.
, and
Behrens
,
S.
, 2008, “
Adaptive Learning Algorithms for Vibration Energy Harvesting
,”
Smart Mater. Struct.
0964-1726,
17
(
3
), p.
035025
.
19.
Anderson
,
B. D. O.
, and
Moore
,
J. B.
, 1990,
Optimal Control: Linear Quadratic Methods
,
Prentice-Hall
,
Englewood Cliffs, NJ
.
20.
Luenberger
,
D. G.
, 1971, “
An Introduction to Observers
,”
IEEE Trans. Autom. Control
0018-9286,
16
, pp.
596
602
.
You do not currently have access to this content.