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The problem of optimal sensor placement (OSP) plays an essential role in developing the active vibration control system. In this paper, the OSP for a flexible wing is addressed using the greedy algorithm. The vibration behavior of a flexible wing structure is modeled into an LPV (Linear Parameter Varying) model, and the closed-loop system performance with an $\mathcal{H}_{2}$ LPV controller is considered as the objective function. Then the OSP problem is formulated into a hybrid optimization problem with integer variables and matrix-valued variables. The greedy algorithm is applied to solve for the optimal policy of sensor placement and the $\mathcal{H}_{2}$ LPV controller. Simulation results demonstrate the effectiveness of this approach and illustrate the trade-off between the number of selected sensors and the best achievable closed-loop system performance.

This paper demonstrates a method for developing in-situ actuation retrofitted onto an additive manufacturing platform. By printing and programming a cantilever beam automated to deploy and actuate without human intervention, one may extend the functionality of an additive manufacturing platform without installing additional hardware. The design leverages a common Fused Filament Fabrication (FFF) platform to physically validate the concept through experiment. Kinetics are repeatedly measured and referenced to develop over two dozen generations of in-situ actuator designs, each a function of programming the specific manipulation of the FFF platform’s gantry-code. The resulting lever fabricated onto the build plate can be embedded into the machine’s design envelope to deploy other fabricated objects off of the build plate. As a proof of concept to demonstrate the actuator’s utility, a Prusa MK3S3D printer is used to fabricate an in-situ actuator which is automated to deploy a simultaneously printed spherical 3D printed structure.