Optimization of Parameterized Transport Models in COTSIM

E. Schuster, A. Pajares, S. Morosohk, V. Graber, Z. Wang

47th European Physical Society (EPS) Conference on Plasma Physics (CPP)

Virtual Meeting, June 21-25, 2021

Abstract

COTSIM (Control Oriented Transport SIMulator) is a 1D transport code based on Matlab/Simulink, which makes it control-design friendly. It assumes a prescribed MHD equilibrium although coupling with a Grad-Shafranov solver is expected to become available in the future. It has a modular configuration, which makes adding or removing physics complexity extremely simple. This enables a speed-accuracy trade-off. COTSIM is capable of running off-line fast simulations, which makes it suitable for effective iterative control design. This includes the capabilities of testing control algorithms in closed-loop simulations and carrying out scenario planning by model-based optimization. Moreover, COTSIM is capable of providing real-time and faster-than-real-time predictions, which makes it suitable for real-time control applications such as feedback control, state estimation, state forecasting. and real-time optimization. In this work, COTSIM is wrapped by an external optimizer in order to tailor parameterized transport models such as the Bohm/gyro-Bohm [1] and Coppi-Tang [2] models to device-specific experimental scenarios. The optimizer adjusts the family of transport-model parameters in order to minimize a cost function subject to constraints. This cost function is defined as a measure of the mismatch between the experimental plasma state and the COTSIM-predicted state based on the associated experimental input. The optimization problem is solved by sequential quadratic programming (SQP), which is predicated on determining a local minimizer of the original nonlinear program by iteratively solving a sequence of approximated quadratic programs. The approach will be illustrated by using DIII-D experimental data to enhance prediction of internal profile dynamics.

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