Adjoint-based optimization of particle trajectories in laminar flows

We present a performant numerical algorithm for the optimal control of particle controls in low Reynolds number flows. In particular, circular particles with mass are considered. An optimal control problem for the particle trajectories is presented, which is solved by means of a steepest descent algorithm. Here, the derivative information is obtained using adjoint calculus. Finally, numerical results are presented underlining the feasibility of our approach.