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Award Abstract #0134464
CAREER: Advanced Control Algorithms for Active Materials Actuators Used in Nanoscale Positioning


NSF Org: CMMI
Division of Civil, Mechanical, and Manufacturing Innovation
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Initial Amendment Date: February 13, 2002
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Latest Amendment Date: February 13, 2002
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Award Number: 0134464
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Award Instrument: Standard Grant
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Program Manager: Shaochen Chen
CMMI Division of Civil, Mechanical, and Manufacturing Innovation
ENG Directorate for Engineering
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Start Date: February 15, 2002
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Expires: July 31, 2007 (Estimated)
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Awarded Amount to Date: $375000
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Investigator(s): Stefan Seelecke stefan_seelecke@ncsu.edu (Principal Investigator)
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Sponsor: North Carolina State University
CAMPUS BOX 7514
RALEIGH, NC 27695 919/515-2444
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NSF Program(s): NANOMANUFACTURING
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Field Application(s): 0308000 Industrial Technology
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Program Reference Code(s): MANU, 9146, 1045
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Program Element Code(s): 1788

ABSTRACT

For manipulations at the nanoscale, highly precise positioning capability is a very basic, yet indispensable requirement. Possible applications in this area range from the assembly of molecular structures to cell manipulations and highly precise machining tasks. Currently employed devices for nanomanipulation commonly rely on the use of actuators from active materials, mostly piezoelectrics and magnetostrictives. It is only through these materials and their inherent properties that the possibility of efficient actuation in an extremely small volume is offered at all. On the other hand, these materials exhibit a highly non-linear behavior characterized by the occurrence of hysteresis loops. This greatly afflicts their control performance and limits their applicability to low bandwidth and low stroke applications under conventional (PID) feedback loops. It is of great relevance for almost every nanomanufacturing task to improve speed and efficiency while at the same time maintaining high precision. A way to treat the problem is to incorporate a model of the material behavior into the control algorithm. A novel approach in the field of shape memory alloys developed by the PI has recently established the foundation for an extremely efficient type of algorithm. This approach not only extends the range of currently employed methods to account for optimality criteria like speed of adjustment or energy consumption; it is clearly real-time capable due to its high computational speed. Based on the observation that, on the icroscale, the physical mechanisms in shape memory alloys are closely related to the ones observed in piezoelectric and magnetostrictive materials, a unified model will be developed for all three materials. Based on such a unified model, the real-time optimal control approach will be extended to account for closed-loop feedback and parameter updating, and it will be validated in a real-time hardware environment.

The educational plan involves four initiatives and will promote the development of new multi-disciplinary courses from undergraduate to Ph.D. level, as well as active undergraduate student research integration. The third effort will increase the exposure of students to international issues and increase their foreign language proficiency by offering possibilities to work with one of Germany's leading institutions in nanotechnology. The final initiative is the development of web based course materials, including "virtual lab experiments" through a simulation based on JAVA versions for active materials models.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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A. York, S. Seelecke. "Towards Advanced Control Algorithms for a Piezoelectric Nano-Positioning Stage: Experiments and Modeling," Proceedings of the Actuator 2006, Bremen, Germany, 2006, 2006, p. 211.

A. York, S. Seelecke. "Experimental Investigation of the Rate-dependent Inner Hysteresis in PZT," in Coupled Nonlinear Phenomena---Modeling and Simulation for Smart, Ferroic and Multiferroic Materials---2005 (Mater. Res. Soc. Symp. Proc 881E, San Francisco, CA, 2005), v.881E, 2005, p. 59.

B. Davis, T. L. Turner, S. Seelecke. "Testing of the thermomechanical response of shape memory alloy hybrid composite beams," Proceedings of the SPIE, Smart Structures and Materials 2005, 2005, p. 423.

B.L. Ball, R.C. Smith, S.J. Kim and S. Seelecke. "A Stress-Dependent Hysteresis Model for PZT," in Coupled Nonlinear Phenomena---Modeling and Simulation for Smart, Ferroic and Multiferroic Materials---2005 (Mater. Res. Soc. Symp. Proc 881E, San Francisco, CA, 2005), v.881E, 2005, p. 77.

Ball, B.L., Smith, R.C., Kim, S.J., Seelecke, S.. "A Stress-Dependent Hysteresis Model for Ferroelectric Materials," Journal of Intelligent Material Systems & Structures, v.18, 2007, p. 69.

Heintze, O., Seelecke, S., Büskens, C.. "Modeling and control of micro-scale SMA actuators," Proceedings of the SPIE, Smart Structures and Materials 2003, v.5049, 2003, p. 495.

J. Frautschi, S. Seelecke. "Finite Element Simulation of Adaptive Aerospace Structures with SMA Actuators," Proceedings of the SPIE, Smart Structures and Materials 2003, v.5049, 2003, p. 65.

K.L. Lee, S. Seelecke. "A Thermo-Magneto-Mechanical Model for Thin Film Ferromagnetic Shape Memory Alloy Actuators," Proc. of Smart Structures & Materials Conference, 2005, p. 343.

Kim, S.J., Seelecke, S.. "A rate-dependent three-dimensional free energy model for ferroelectric single crystals," Int. J. Solids and Structures, v.44, 2007, p. 1196.

O. Heintze, S. Seelecke. "A Rate-dependent Model for Pseudoelastic Inner Hysteresis Loop Behavior," in Coupled Nonlinear Phenomena---Modeling and Simulation for Smart, Ferroic and Multiferroic Materials---2005 (Mater. Res. Soc. Symp. Proc 881E, San Francisco, CA, 2005), v.881E, 2005, p. 37.


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Last Updated:April 2, 2007