Pulse preparation workflows for SPARC Plasma Operations
ORAL
Abstract
Pulse preparation is critical for delivering efficient, robust operation of the SPARC tokamak. Desired pulse scenarios, which underpin Plasma Operation Plans (POPs), are developed in MOSAIC, a highly adaptable and collaborative framework designed for constructing rapid, full-pulse prediction workflows. Pulse preparation begins with the Pulse Planning Workflow (PPW), where optimization algorithms determine full-pulse trajectories that fulfill the pulse objective while maximizing the margin to system and plasma limits. The core components of PPW are the open-source codes GSPulse and TORAX. The generated actuator trajectories subsequently define the targets and parameters for the reduced models necessary for real-time, closed-loop control calculations within the Pulse Simulating Workflow (PSW). PSW comprises a collection of "episodes" engineered to test the controller's robustness against anticipated disturbances, thereby assessing the plasma control system's (PCS) resilience and its capacity for off-normal detection and response within the pulse scenarios. The outcomes of these simulations guide improvements to both the target scenario and the control schemes, thereby enhancing the probability of success. The prepared pulse is accompanied by a PCS configuration appropriate for operational deployment and provides information regarding budget consumption and device protection constraints relevant to operations.
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Presenters
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Devon J Battaglia
Commonwealth Fusion Systems
Authors
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Devon J Battaglia
Commonwealth Fusion Systems
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Anna Teplukhina
Commonwealth Fusion Systems
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Josiah Wai
Commonwealth Fusion Systems
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Dan D Boyer
Commonwealth Fusion Systems
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Misha Veldhoen
Commonwealth Fusion Systems
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Panagiotis Stilianos Kaloyannis
Commonwealth Fusion Systems
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Wil Koch
Commonwealth Fusion Systems
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Ivana Abramovic
Commonwealth Fusion Systems
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Thomas Alfred John Body
Commonwealth Fusion Systems
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Tom Looby
Commonwealth Fusion Systems
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Ryan M Sweeney
Commonwealth Fusion Systems
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Christopher Woodall
Commonwealth Fusion Systems
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Jonathan Citrin
Google DeepMind
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Federico Felici
Google DeepMind