Enabling model-based scenario control in EAST by fast surrogate modeling within COTSIM

作者：Zibo Wang, Eugenio Schuster, T. Rafiq, Yueheng Huang, Zhengping Luo, Qiping Yuan, Justinn Barr · 发表于：Fusion Engineering and Design · 年份：2025 · DOI：10.1016/j.fusengdes.2025.114969 · 被引用次数：3 · 研究领域：Magnetic confinement fusion research、Superconducting Materials and Applications、Scientific Computing and Data Management

The Control-Oriented Transport Simulator (COTSIM) is a fast, modular code designed to predict the evolution of both equilibrium and internal profiles in the EAST tokamak . Built on MATLAB/Simulink®, COTSIM is tailored for iterative control design, making it suitable for applications such as pulse design, feedforward scenario optimization, feedback-control testing prior to implementation, and real-time estimation and optimization. Recent advancements have enhanced its prediction accuracy for EAST while maintaining computational efficiency through the integration of neural-network-based surrogate models for the Multi-Mode Anomalous Transport Module (MMM), GENRAY/CQL3D (Lower Hybrid Wave [LHW]), and NUBEAM (Neutral Beam Injection [NBI]). Additionally, the transport solver has been coupled with both fixed-boundary and free-boundary equilibrium solvers. This study demonstrates the development and testing of model-based optimal feedback controllers in COTSIM simulations. These controllers regulate key plasma properties crucial for advanced tokamak scenarios, including the safety factor ( ) at various spatial locations , plasma internal energy ( ), normalized beta ( ), and internal inductance ( ). Control actuators include plasma current , plasma density , low-frequency (2.45 GHz) and high-frequency (4.60 GHz) LHW powers, and individual NBI powers. To validate these control algorithms, experimental testing has been conducted on EAST. Results from simulations and experiments demonstr...