Controlling a Vlasov-Poisson plasma by a Particle-In-Cell method based on a Monte Carlo framework
arXiv:2304.02083 · doi:10.1137/23M1563852
Abstract
The Vlasov-Poisson system describes the time evolution of a plasma in the so-called collisionless regime. The investigation of a high-temperature plasma that is influenced by an exterior magnetic field is one of the most significant aspects of thermonuclear fusion research. In this paper, we formulate and analyze a kinetic optimal control problem for the Vlasov-Poisson system where the control is represented by an external magnetic field. The main goal of such optimal control problems is to confine the plasma in a certain region in phase space. We first investigate the optimal control problem in terms of mathematical analysis, i.e., we show the existence of at least one global minimizer and we rigorously derive a first-order necessary optimality condition for local minimizers by the adjoint approach. Then, we build a Monte Carlo framework to solve the state equations as well as the adjoint equations by means of a Particle-In-Cell method, and we apply a nonlinear conjugate gradient method to solve the optimization problem. Eventually, we present numerical experiments that successfully validate our optimization framework.
References in corpus (10)
- On Landau damping
- Stochastic Conjugate Gradient Algorithm with Variance Reduction
- On the Boris solver in particle-in-cell simulation
- A general way to confined stationary Vlasov-Poisson plasma configurations
- Optimal control of a Vlasov-Poisson plasma by an external magnetic field
- Optimal control of a Vlasov-Poisson plasma by fixed magnetic field coils
- Confined steady states of a Vlasov-Poisson plasma in an infinitely long cylinder
- Optimal Control of the Two-Dimensional Vlasov-Maxwell System
- Magnetic confinement at a boundary approximates specular reflection
- Optimal Control of a Hot Plasma