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SUMMARY:Exploration and Reproducibility of Advanced Plasma Scenarios via C
 urrent and Rotation Profile Control in DIII-D
DTSTART:20170331T150000
DTEND:20170331T160000
DTSTAMP:20260924T085420Z
UID:9a84762cb820ca624d383f3321250d1bf79bf62c9540ccbd53ee6365
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Eugenio Schuster\n\nPlasma Control Lab\, Lehigh Univ.\, 
 Bethlehem\, USA\nExperimental results in DIII-D successfully demonstrate t
 he potential of physics-model-based control for systematic attainment of d
 esired plasma internal profiles\, with the subsequent benefit of enabling 
 exploration and reproducibility. The control scheme is constructed by embe
 dding a nonlinear\, controloriented\, physics-based model of the plasma dy
 namics into the control design process. This modeling approach combines fi
 rst-principles laws with empirical correlations obtained from physical obs
 ervations\, which leads to partial-differential-equation (PDE) control-ori
 ented models capturing the highdimensionality and nonlinearity of the plas
 ma response. Model-based control design includes not only the synthesis of
  feedback controllers (based on reduced-order models) for robust regulatio
 n or tracking\, but also the determination of optimal feedforward actuator
  trajectories (based on higher-order models) for a systematic approach to 
 scenario planning. To steer the plasma to the desired state\, model predic
 tive control (MPC) numerically solves successive optimization problems in 
 real time over a receding time horizon by exploiting efficient quadratic p
 rogramming techniques. A key advantage of this control approach is that it
  allows for explicit incorporation of state/input constraints to prevent t
 he controller from driving the plasma outside of stability/performance lim
 its and obtain\, as closelyas possible\, steady state conditions. The enab
 ler of this feedback-control approach is the control-oriented model captur
 ing the dominant physics of the plasma response to the available actuators
 . Simulations and experiments suggest that control-oriented model-based sc
 enario planning (feedforward control) in combination with MPC (feedback co
 ntrol) can play a crucial role in exploring performance and stability limi
 ts of scenarios of interest. Simulated and experimental results will be pr
 esented to illustrate DIII-D’s present capabilities for current-profile 
 and rotation-profile control in combination with βN regulation.
LOCATION:PPB019
STATUS:CONFIRMED
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