TY - GEN
T1 - Optimal Control of Active Nematics
AU - Norton, Michael M.
AU - Grover, Piyush
AU - Hagan, Michael F.
AU - Fraden, Seth
N1 - Publisher Copyright:
© 2020 American Physical Society.
PY - 2021
Y1 - 2021
N2 - In this work we present the first systematic framework to sculpt active nematic systems, using optimal control theory and a hydrodynamic model of active nematics. We demonstrate the use of two different control fields, (i) applied vorticity and (ii) activity strength, to shape the dynamics of an extensile active nematic that is confined to a disk. In the absence of control inputs, the system exhibits two attractors, clockwise and counterclockwise circulating states characterized by two co-rotating topological + 1/2 defects. We specifically seek spatiotemporal inputs that switch the system from one attractor to the other; we also examine phase-shifting perturbations. We identify control inputs by optimizing a penalty functional with three contributions: total control effort, spatial gradients in the control, and deviations from the desired trajectory. This work demonstrates that optimal control theory can be used to calculate nontrivial inputs capable of restructuring active nematics in a manner that is economical, smooth, and rapid, and therefore will serve as a guide to experimental efforts to control active matter.
AB - In this work we present the first systematic framework to sculpt active nematic systems, using optimal control theory and a hydrodynamic model of active nematics. We demonstrate the use of two different control fields, (i) applied vorticity and (ii) activity strength, to shape the dynamics of an extensile active nematic that is confined to a disk. In the absence of control inputs, the system exhibits two attractors, clockwise and counterclockwise circulating states characterized by two co-rotating topological + 1/2 defects. We specifically seek spatiotemporal inputs that switch the system from one attractor to the other; we also examine phase-shifting perturbations. We identify control inputs by optimizing a penalty functional with three contributions: total control effort, spatial gradients in the control, and deviations from the desired trajectory. This work demonstrates that optimal control theory can be used to calculate nontrivial inputs capable of restructuring active nematics in a manner that is economical, smooth, and rapid, and therefore will serve as a guide to experimental efforts to control active matter.
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U2 - 10.1103/PhysRevLett.125.178005
DO - 10.1103/PhysRevLett.125.178005
M3 - Conference contribution
C2 - 33156653
AN - SCOPUS:85094853957
T3 - AIChE Annual Meeting, Conference Proceedings
BT - 2021 AIChE Annual Meeting
PB - American Institute of Chemical Engineers
T2 - 2021 AIChE Annual Meeting
Y2 - 15 November 2021 through 19 November 2021
ER -