xp1518: rwm pid control optimization based on theory and experiment s. a. sabbagh, j.w. berkery, j.m...

6
NSTX-U Meeting name – abbreviated presentation title, abbreviated author name (??/??/20??) XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics, Columbia University, New York, NY NSTX-U Supported by Culham Sci Ctr York U Chubu U Fukui U Hiroshima U Hyogo U Kyoto U Kyushu U Kyushu Tokai U NIFS Niigata U U Tokyo JAEA Inst for Nucl Res, Kiev Ioffe Inst TRINITI Chonbuk Natl U NFRI KAIST POSTECH Seoul Natl U ASIPP CIEMAT FOM Inst DIFFER ENEA, Frascati CEA, Cadarache IPP, Jülich IPP, Garching ASCR, Czech Rep NSTX-U Macrostability TSG Meeting June 30 th , 2015 PPPL V1.0 Coll of Wm & Mary Columbia U CompX General Atomics FIU INL Johns Hopkins U LANL LLNL Lodestar MIT Lehigh U Nova Photonics ORNL PPPL Princeton U Purdue U SNL Think Tank, Inc. UC Davis UC Irvine UCLA UCSD U Colorado U Illinois U Maryland U Rochester U Tennessee U Tulsa U Washington U Wisconsin X Science LLC

Upload: carol-dean

Post on 02-Jan-2016

218 views

Category:

Documents


3 download

TRANSCRIPT

Page 1: XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics,

XP1518: RWM PID control optimization based on theory and experiment

S. A. Sabbagh, J.W. Berkery, J.M BialekY.S. Park, (et al…)

Department of Applied Physics, Columbia University, New York, NY

NSTX-U Supported by

Culham Sci CtrYork U

Chubu UFukui U

Hiroshima UHyogo UKyoto U

Kyushu UKyushu Tokai U

NIFSNiigata UU Tokyo

JAEAInst for Nucl Res, Kiev

Ioffe InstTRINITI

Chonbuk Natl UNFRI

KAISTPOSTECH

Seoul Natl UASIPP

CIEMATFOM Inst DIFFER

ENEA, FrascatiCEA, Cadarache

IPP, JülichIPP, Garching

ASCR, Czech Rep

NSTX-U Macrostability TSG Meeting

June 30th, 2015

PPPL

V1.0

Coll of Wm & MaryColumbia UCompXGeneral AtomicsFIUINLJohns Hopkins ULANLLLNLLodestarMITLehigh UNova PhotonicsORNLPPPLPrinceton UPurdue USNLThink Tank, Inc.UC DavisUC IrvineUCLAUCSDU ColoradoU IllinoisU MarylandU RochesterU TennesseeU TulsaU WashingtonU WisconsinX Science LLC

Page 2: XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics,

NSTX Macrostability TSG Mtg: XP1518: RWM PID control optimization based on theory and experiment (S.A. Sabbagh, et al.) June 30th, 2015NSTX-U 2

Columbia U. Group 2015 Macrostability TSG XPs (Short Summary)

XPs (related XPs assigned numbers for “2011 run”) RWM stabilization dependence on neutral beam deposition angle (~XP1149) (Berkery)

RWM stabilization physics at reduced collisionality (~XP1148) (Berkery)

RWM state space active control physics (independent coil control) (~XP1145) (Sabbagh)

RWM control physics with partial control coil coverage (JT-60SA) (~XP1147) (Y-S Park)

RWM PID control optimization based on theory and experiment (~XP1111) (Sabbagh)

RWM state space active control at low plasma rotation (~XP1146) (Y-S Park)

Neoclassical toroidal viscosity - reduced n (independent coil control) (~XP1150) (Sabbagh)

NTV steady-state rotation at reduced torque (HHFW) (~XP1062) (Sabbagh)

Multi-mode error field correction using the RWMSC (to follow initial EFC XP)

NTM Entrainment in NSTX-U (Y.S. Park)

Piggyback XPs

Disruption PAM characterization, measurements, and criteria (Sabbagh, for DPAM WG)

NOTE: - some shot plans already scoped out in web submissions (not repeated here)

- run day requests mostly assume leveraging “2nd NBI XP”, “Ip/Bt scaling XP”

Page 3: XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics,

NSTX Macrostability TSG Mtg: XP1518: RWM PID control optimization based on theory and experiment (S.A. Sabbagh, et al.) June 30th, 2015NSTX-U 3

XP1518: RWM PID control optimization based on theory and experiment

Motivation Experiments using n = 1 RWM control in 2010, and subsequent analysis

using the VALEN code show that some settings for control using dual BR and Bp sensor feedback were optimal, others could have been improved

Active RWM PID control settings need to be re-optimized for NSTX-U Support general NSTX-U experiments by optimizing RWM PID control

Goals / Approach Optimize n = 1 RWM PID control focusing on scans of key parameters

• Vary Bp feedback phase, BR feedback gain – which differ in the most in the analysis from the experimental settings

• Bp sensor gain will also be examined in this experiment (never scanned with r/t AC compensation).

• Perform on high performance target plasmas (fiducial; low l i; snowflake)

Addresses General support for NSTX-U high beta experiments, R(15-3) ITPA joint experiment MDC-17

Page 4: XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics,

NSTX Macrostability TSG Mtg: XP1518: RWM PID control optimization based on theory and experiment (S.A. Sabbagh, et al.) June 30th, 2015NSTX-U 4

RWM Br sensor n = 1 feedback phase variation shows superior settings when combined w/Bp sensors; good agreement w/theory

VALEN calculation of Br+Bp feedback follows XP stable plasma (negative “s”) Now examining plasma

response model variation• impact of “s”, and diff.

rotation (“a”) on results

2.3

2.4

2.5

2.6

2.7

2.8

0 0.02 0.04 0.06 0.08 0.1 0.12

NSTX.TD.2011.02EFA

MIX180 top Br magnitude n=1 [gauss] wCMIX090 top Br magnitude n=1 [gauss] wCMIX000 top Br magnitude n=1 [gauss] wCpl top Br n=1 magnitude [gauss]vac top Br n=1 magnitude [gauss]

Br

ma

gn

itud

e n

=1

[g

au

ss]

time [s]

pct above, jpg below

Dt (s)

Rad

ial f

ield

n =

1 (

G)

Favorable (experimental) Bp feedback settings, varied BR settings Positive/negative feedback produced at

theoretically expected phase values

180 deg FB phase

90 deg FB phase

0 deg FB phase

Vacuum error field

Vacuum EF + RFA

VALEN calculation of NSTX Br + Bp control

01

2

3

4

56

-

0

0.2

0.4

0.6

0.8

-

02

4

6

8

1012

*

0 0.2 0.4 0.6 0.8 1.0 1.2 1.4Seconds

01234567

Tesla

140124140125140126140127

Shots:

Brn = 1 (G)

N

li

~q=2 (kHz)

Br FB phase = 0o

Br FB phase = 225o

Br FB phase = 90o

140124140125140126140127

Br FB phase = 180o

t (s)

6

4

2

00.80.60.40.20.0

10864206

4

2

00.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4

01

2

3

4

56

-

0

0.2

0.4

0.6

0.8

-

02

4

6

8

1012

*

0 0.2 0.4 0.6 0.8 1.0 1.2 1.4Seconds

01234567

Tesla

140124140125140126140127

Shots:

Brn = 1 (G)

N

li

~q=2 (kHz)

Br FB phase = 0o

Br FB phase = 225o

Br FB phase = 90o

140124140125140126140127

Br FB phase = 180o

t (s)

6

4

2

00.80.60.40.20.0

10864206

4

2

00.0 0.2 0.4 0.6 0.8 1.0 1.2 1.40.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4

n = 1 BR + Bp feedback(Bp gain = 1, BR gain = 1.5)

NSTX Experiments: Bp + BR feedbackFeedback on

Page 5: XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics,

NSTX Macrostability TSG Mtg: XP1518: RWM PID control optimization based on theory and experiment (S.A. Sabbagh, et al.) June 30th, 2015NSTX-U

XP1518: RWM PID control optimization based on theory and experiment – basic shot scans / run time allocation

Primary scans (number of data points/shot will depend on high beta steady-state duration)

Vary Bp sensor feedback phase, no Br feedback (4 shots) – (at 4 phases/shot)

• Extra shot added here in case gain increase needed Vary Bp sensor feedback gain, no Br feedback (2 shots)

Vary Br sensor feedback gain, with “best” Bp feedback settings (2 shots)

• Br sensor feedback phase of 180 degrees

Vary Br sensor feedback phase, with “best” Bp feedback settings (2 shots)

Vary Bp sensor feedback phase to check with “best” Br feedback (4 shots)

Additional details/scans Add an interval of pre-programmed n = 1 field to determine that feedback is

being effective – change gain if needed on early shots (no extra shots needed) Use fiducial, or generally high performance low li target plasma May wish to redo all/part of these scans on significantly different NSTX-U

plasma conditions (e.g. standard DND vs. snowflake)

Run time 0.5 priority run days allocated for XP1518 (~14 shots?)

5

Page 6: XP1518: RWM PID control optimization based on theory and experiment S. A. Sabbagh, J.W. Berkery, J.M Bialek Y.S. Park, (et al…) Department of Applied Physics,

NSTX Macrostability TSG Mtg: XP1518: RWM PID control optimization based on theory and experiment (S.A. Sabbagh, et al.) June 30th, 2015NSTX-U

XP1518: RWM PID control optimization based on theory and experiment – Diagnostics, etc.

6

Required diagnostics / capabilities RWM Bp and Br sensors

RWM n = 1 PID feedback using Bp and Br sensors RWM coils generating n = 3 or n = 2 applied field configurations CHERS toroidal rotation measurement Thomson scattering MSE Toroidal Mirnov array / between-shots spectrogram with toroidal

mode number analysis

Desired diagnostics / capabilities Real-time rotation measurement USXR and ME-SXR Fast camera