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Research Needs for Magnetic Fusion Energy Sciences - US Burning ...

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to operation of iteR. solutions <strong>for</strong> controlling elms that are consistent with iteR constraints<br />

are particularly critical, owing to predictions that unmitigated type i elms will ablate the divertor<br />

targets at an unacceptable rate. control solutions <strong>for</strong> specific axisymmetric instabilities, resistive<br />

wall modes, and neoclassical tearing modes must be developed and qualified with sufficient<br />

reliability and per<strong>for</strong>mance to produce the required low level of disruptivity. axisymmetric control<br />

solutions may also be required <strong>for</strong> the regulation of runaway electrons following a disruption.<br />

<strong>Fusion</strong> Plant: certain limited elements of a power plant fuel and breeding cycle will be tested<br />

in iteR, including test blanket modules (tbm) <strong>for</strong> breeding tritium. control requirements associated<br />

with these elements include development of tbm operation control solutions and remote<br />

maintenance solutions, possibly including accelerated access and replacement of major components<br />

such as divertor cassettes.<br />

handling off-normal events and faults in a safe, reliable manner<br />

The success of iteR will critically depend on the control system’s ability to minimize the frequency<br />

of off-normal events and to respond effectively to minimize damaging effects. a key part of<br />

this solution is to demonstrate reliable control in the proximity of stability boundaries, including<br />

excursions expected during nominal operation, as well as off-normal or fault-triggered excursions.<br />

Reliable operation under nominally disturbed regimes (e.g., intermittent sawteeth, elms,<br />

or transient magnetic island growth) falls under the research category in chapter 2. however,<br />

novel algorithmic control and response solutions beyond nominal control are also required <strong>for</strong> excursions<br />

requiring transient changes of the operating regime (e.g., response to loss of a diagnostic<br />

channel or key actuator), rapid but controlled shutdown (e.g., identification of an impending unrecoverable<br />

state), or emergency uncontrolled shutdown (e.g., identification of immediate unrecoverable<br />

state and insufficient time <strong>for</strong> controlled shutdown, often envisioned as serving to mitigate<br />

potential system damage). enabling elements of these solutions include a quantifiably reliable<br />

systematic approach and corresponding integrated system <strong>for</strong> response to off-normal events<br />

and fault-triggered excursions, real-time predictors <strong>for</strong> proximity to key operational limits, algorithms<br />

and mechanisms <strong>for</strong> mitigating damage, and recovery/cleanup strategies to rapidly restore<br />

plant availability. approaches must be developed to quantify per<strong>for</strong>mance and risk/probabilities<br />

<strong>for</strong> licensing and certification.<br />

Developing model-based control algorithms<br />

design of model-based control algorithms requires both new computational tools as well as new<br />

algorithmic approaches. computational tools are needed to produce control-level models, integrated<br />

and sufficiently comprehensive simulations, and real-time predictive models <strong>for</strong> on-line<br />

controller adjustment or operating regime identification. iteR will specifically require an integrated,<br />

axisymmetric, resistive mhd simulation code <strong>for</strong> development and testing of controllers,<br />

as well as pulse verification. verifying pulse consistency and per<strong>for</strong>mance is an operational requirement<br />

of the present iteR control system specification. The models and simulations used <strong>for</strong><br />

these purposes must be thoroughly validated against data from operating devices.<br />

These model-based control tools will require the development of new algorithmic approaches.<br />

This research includes mathematical solutions <strong>for</strong> nominal high-per<strong>for</strong>mance control, as well as<br />

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