A Simulink-to-FunctionBlock transformation framework for rapid integration of plasma control algorithms

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Abstract
To support high-performance long-pulse plasma discharges, the Lingshu plasma control system (PCS) has been successfully developed and deployed, shifting the focus of current research toward the development and iterative refinement of advanced control algorithms. Simulink is a widely used and powerful tool for control algorithm development. However, integrating Simulink models into the FunctionBlock-based architecture of Lingshu PCS still requires substantial manual adaptation, resulting in low integration efficiency and prolonged deployment cycles. To address this issue, this paper proposes a Simulink-to-FunctionBlock transformation framework for the Lingshu PCS. The framework establishes an automated workflow from model development to system deployment, enabling the direct conversion of Simulink models into deployable FunctionBlocks. By bridging the semantic gaps between Simulink models and the FunctionBlock architecture, the proposed approach significantly reduces manual integration effort and accelerates algorithm deployment. The proposed framework is validated using a plasma control algorithm from the EAST tokamak. Experimental results demonstrate that Simulink models can be successfully transformed into FunctionBlocks and deployed on the Lingshu PCS while preserving the original algorithm behavior and satisfying real-time control requirements, thereby validating the effectiveness of the proposed framework.
Funding Information
  • National MCF Energy R&D Program of China (2022YFE03010002)
  • Artificial Intelligence Control Methods and Model Validation for Fusion Reactor Plasma (25KZS203)

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