
Proceedings Paper
Multi-objective optimal control of vibratory energy harvesting systemsFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a new approach, based on H2 optimal control theory, for the maximization of power generation
in energy harvesting systems. The theory determines the optimal harvested power attainable through the use
of power electronics to effect linear feedback control of transducer current. In contrast to most of the prior work
in this area, which has assumed harmonic response, the theory proposed here applies to stochastically-excited
systems in broadband response, and can be used to harvest power simultaneously from multiple significant vibratory
modes. It is also applicable to coupled networks of many transducers. The theory accounts for the impact
of energy harvesting on the dynamics of the vibrating system in which the transducers are embedded. It also
accounts for resistive and semiconductor dissipation in the power-electronic network interfacing the transducers
with energy storage. Thus, losses in the electronics are addressed in the formulation of the optimal control
law. Finally, the H2-optimal control formulation of the problem naturally allows for harvested power to be systematically
balanced against other response objectives. Here, this is illustrated by showing how the harvesting
objective can be maximized, subject to the constraint that the transducer voltages be maintained below that
of the power-electronic bus; a condition which is required for the power-electronic control system to be fully
operational. Although the theory is applicable across a broad range of applications, it is presented in the context
of a piezoelectric bimorph example.
Paper Details
Date Published: 8 April 2008
PDF: 12 pages
Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 693231 (8 April 2008); doi: 10.1117/12.776612
Published in SPIE Proceedings Vol. 6932:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008
Masayoshi Tomizuka, Editor(s)
PDF: 12 pages
Proc. SPIE 6932, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008, 693231 (8 April 2008); doi: 10.1117/12.776612
Show Author Affiliations
J. T. Scruggs, Duke Univ. (United States)
Published in SPIE Proceedings Vol. 6932:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2008
Masayoshi Tomizuka, Editor(s)
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