471484 A Hybrid Control Technique to Achieve Spatial and Temporal Control of Droplets in a Microfluidic Device
Droplets affect the decisions, at bifurcation points, and velocities of the other droplets in the channel due to hydrodynamic interactions. The dynamics of these phenomena even in a simple bifurcating channel is astonishingly complex. The present droplets’ decisions affect past droplet decisions and droplet velocities. Droplet motion in microfluidic systems is highly nonlinear and interactive leading to chaos and presents a unique challenge for conventional control techniques. In this paper, we demonstrate the application of a hybrid model predictive controller on a microfluidic loop device to produce droplets of desired sequence given an input sequence. A custom MINLP technique is formulated for droplet systems that efficiently predicts the actuations to control both decisions-discrete states- and velocities-continous states- of droplets. This technique is demonstrated in microfluidic loop device by generating a droplet sequence `AABB' from `ABAB’.