In the paper, we discuss the development of a high-fidelity and surrogate model for a PZT bimorph used as an actuator for micro-air vehicles including Robobee. The models must quantify the nonlinear, hysteretic, and rate-dependent behavior inherent to PZT in dynamic operating regimes. The actuator dynamics are initially modeled using the homogenized energy model (HEM) framework. This provides a comprehensive high-fidelity model, which can be inverted and implemented in real time for certain control regimes. To improve efficiency, we additionally discuss the development of data-driven models and focus on the implementation of a surrogate model based on a dynamic mode decomposition (DMD). Finally, we detail the design and implementation of a PI controller on the surrogate and high-fidelity models.
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ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 18–20, 2017
Snowbird, Utah, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5826-4
PROCEEDINGS PAPER
Data-Driven Model Development and Feedback Control Design for PZT Bimorph Actuators
Nikolas Bravo,
Nikolas Bravo
North Carolina State University, Raleigh, NC
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Ralph C. Smith,
Ralph C. Smith
North Carolina State University, Raleigh, NC
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John Crews
John Crews
Applied Research Associates, Raleigh, NC
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Nikolas Bravo
North Carolina State University, Raleigh, NC
Ralph C. Smith
North Carolina State University, Raleigh, NC
John Crews
Applied Research Associates, Raleigh, NC
Paper No:
SMASIS2017-3847, V002T03A023; 9 pages
Published Online:
November 9, 2017
Citation
Bravo, N, Smith, RC, & Crews, J. "Data-Driven Model Development and Feedback Control Design for PZT Bimorph Actuators." Proceedings of the ASME 2017 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 2: Modeling, Simulation and Control of Adaptive Systems; Integrated System Design and Implementation; Structural Health Monitoring. Snowbird, Utah, USA. September 18–20, 2017. V002T03A023. ASME. https://doi.org/10.1115/SMASIS2017-3847
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