Model Development and Control Design for Nonlinear Smart Material Systems
Professor Ralph C. Smith, North
Carolina State University
Abstract. High performance
transducers utilizing piezoceramic, electrostrictive, magnetostrictive or shape
memory elements offer novel control capabilities in applications ranging from
flow control to precision placement for nanoconstruction. To achieve the full
potential of these materials, however, models, numerical methods and control
designs which accommodate the constitutive nonlinearities and hysteresis
inherent to the compounds must be employed. Furthermore, it is
advantageous to consider material characterization, model development, numerical
approximation, and control design in concert to fully exploit the novel sensor
and actuator capabilities of these materials in coupled systems.
In this presentation, the speaker will discuss recent advances in the
development of model-based control strategies for high performance smart
material systems. The presentation will focus on the development of unified
nonlinear hysteresis models, inverse compensators, reduced-order approximation
techniques, and nonlinear control strategies for high precision or high drive
regimes. The range for which linear models and control methods are applicable
will also be outlined. Examples will be drawn from problems arising in
structural acoustics, high speed milling, deformable mirror design, artificial
muscle development, tendon design to minimize earthquake damage, and atomic
force microscopy.