NDLI: Poloidal magnetic flux profile control in tokamaks via normalized coprime factorization robust control

Content Provider	IEEE Xplore Digital Library
Author	Barton, J. Yongsheng Ou Chao Xu Schuster, E. Walker, M.
Copyright Year	2011
Description	Author affiliation: Center for Intelligent and Biomimetic Systems, Shenzhen Institute of Advanced Technology, Shenzhen, China (Yongsheng Ou) \|\| General Atomics, 3550 General Atomics Court, San Diego, CA 92121, USA (Walker, M.) \|\| Institute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, Hangzhou, China (Chao Xu) \|\| Department of Mechanical Engineering and Mechanics, Lehigh University, 19 Memorial Drive West, Bethlehem, PA 18015, USA (Barton, J.; Schuster, E.)
Abstract	The potential steady-state operation of a fusion tokamak, with good confinement and a high fusion gain, is related to setting up a suitable current density profile in the device. Experiments at the DIII-D tokamak focus on creating the desired current profile during the plasma current ramp-up and early flat-top phases of the discharge with the aim of maintaining this target profile throughout the subsequent phases of the discharge. The time evolution of the current density profile in a tokamak is related to the time evolution of the poloidal magnetic flux profile, which is modeled in normalized cylindrical coordinates by a partial differential equation referred to as the magnetic diffusion equation. Extremum seeking and nonlinear programming techniques have been employed to find optimal open-loop (feedforward) solutions to the finite time control problem during the ramp-up and early flat-top phases. In order to reject the effects of external disturbances to the system, we propose an optimal H∞ feedback control input that is added to the optimal feedforward control input to regulate the poloidal flux profile around the desired reference trajectories of the system. The combined feedforward + feedback, model-based controller is then tested through simulation.
Starting Page	49
Ending Page	54
File Size	639024
Page Count	6
File Format	PDF
ISBN	9781457710629
ISSN	10851992
e-ISBN	9781457710636
e-ISBN	9781457710612
DOI	10.1109/CCA.2011.6044432
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mathematical model Tokamaks Feedforward neural networks Uncertainty Toroidal magnetic fields Equations
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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