Three low-power control strategies for piezoelectric actuators based on on-off or related switching control approaches are described. These strategies are targeted for leg actuation in autonomous micro-robots, where available power is severely constrained, below the power level that more conventional analog or pulse-width-modulation drive circuitry, switching rates, and/or sampling frequency would require. The first strategy optimizes the sequence of ‘on’ and ‘off’ transitions over a finite number of steps to minimize actuator energy while ensuring that a system moves to a desired set of final states. Transitions are selected via convex optimization by binary programming. The second strategy optimizes a set of commands to a drive circuit including charge recovery components to improve both power consumption and positioning accuracy, with optimal transitions chosen using mixed integer quadratic programming. The third strategy is proposed to account for modeling error using step to step adaptation of input sequences with limited sensor measurements.
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ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 21–23, 2009
Oxnard, California, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-4897-5
PROCEEDINGS PAPER
Low-Power Control Strategies for Thin-Film Piezoelectric Micro-Robotic Actuators Available to Purchase
Kenn Oldham,
Kenn Oldham
University of Michigan, Ann Arbor, MI
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Biju Edamana,
Biju Edamana
University of Michigan, Ann Arbor, MI
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Bongsu Hahn
Bongsu Hahn
University of Michigan, Ann Arbor, MI
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Kenn Oldham
University of Michigan, Ann Arbor, MI
Biju Edamana
University of Michigan, Ann Arbor, MI
Bongsu Hahn
University of Michigan, Ann Arbor, MI
Paper No:
SMASIS2009-1421, pp. 335-342; 8 pages
Published Online:
February 16, 2010
Citation
Oldham, K, Edamana, B, & Hahn, B. "Low-Power Control Strategies for Thin-Film Piezoelectric Micro-Robotic Actuators." Proceedings of the ASME 2009 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Multifunctional Materials; Enabling Technologies and Integrated System Design; Structural Health Monitoring/NDE; Bio-Inspired Smart Materials and Structures. Oxnard, California, USA. September 21–23, 2009. pp. 335-342. ASME. https://doi.org/10.1115/SMASIS2009-1421
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