Co-Simulating TokSys and FUSE for control development

The development of effective control systems is critical for the advancement of fusion energy as a viable power source. Traditionally, control system design has relied on reduced-order plasma models to ensure computational efficiency at the cost of fidelity. The under utilization of existing high-performance computing resources presents an opportunity to leverage more sophisticated plasma modeling tools, such as the Julia-based FUSE (Fusion Synthesis Engine) code.

Coupling FUSE and other advanced models with the well established MATLAB Simulink-based TokSys control toolbox can enhance the realism and predictive capability of existing fusion control system simulations without major code-restructuring. To facilitate communication between these frameworks, the Redis data store is utilized to provide a scalable, low-latency interface for exchanging simulation data and control signals. This integrated approach leverages the strengths of multiple models, enabling the exploration of advanced control strategies that better capture the complex dynamics of fusion plasmas. The use of FUSE's detailed plasma models can lead to control system designs that are better suited to handle the challenges of real-world tokamak operation, while the computational power of modern super-computing infrastructure can enable the exploration of advanced, model-predictive control techniques.