A MIMO architecture for integrated control of plasma shape and flux expansion for the EAST tokamak

Similar documents
On plasma vertical stabilization at EAST tokamak

Plasma magnetic diagnostic and control at ITER & DEMO (& EAST)

Divertor configuration with two nearby poloidal field nulls: modelling and experiments for EAST and JET tokamaks

Plasma Current, Position and Shape Control June 2, 2010

ENEA for EUROfusion, via E. Fermi 45, Frascati (Rome), Italy 2. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei, , China 3

Model based optimization and estimation of the field map during the breakdown phase in the ITER tokamak

Developing Steady State ELM-absent H-Mode scenarios with Advanced Divertor Configuration in EAST tokamak

Plasma models for the design of the ITER PCS

Plasma position and shape control in ITER using in-vessel coils

Plasma Current, Position and Shape Control Hands-on Session June 2, 2010

Heat Flux Management via Advanced Magnetic Divertor Configurations and Divertor Detachment.

Model based estimation of the Eddy currents for the ITER tokamak *

Upgrade of the Present JET Shape and Vertical Stability Controller

Plasma Shape Feedback Control on EAST

Richiami di Controlli Automatici

Toroidal Multipolar Expansion for Fast L-Mode Plasma Boundary Reconstruction in EAST

ITER operation. Ben Dudson. 14 th March Department of Physics, University of York, Heslington, York YO10 5DD, UK

The Effects of Noise and Time Delay on RWM Feedback System Performance

Central Solenoid Winding Pack Design

Equilibrium reconstruction improvement via Kalman-filter-based vessel current estimation at DIII-D

Necessary and Sufficient Conditions for Input-Output Finite-Time Stability of Impulsive Dynamical Systems

Magnetic Diagnostics Basics

Magnetic Control of Perturbed Plasma Equilibria

MHD. Jeff Freidberg MIT

1. Motivation power exhaust in JT-60SA tokamak. 2. Tool COREDIV code. 3. Operational scenarios of JT-60SA. 4. Results. 5.

Non-Solenoidal Plasma Startup in

Analysis and modelling of MHD instabilities in DIII-D plasmas for the ITER mission

Design of next step tokamak: Consistent analysis of plasma flux consumption and poloidal field system

Optimization of Plasma Initiation Scenarios in JT-60SA

ON-LINE CALCULATION OF FEEDFORWARD TRAJECTORIES FOR TOKAMAK PLASMA SHAPE CONTROL

Possibilities for Long Pulse Ignited Tokamak Experiments Using Resistive Magnets

Effects of Noise in Time Dependent RWM Feedback Simulations

Requirements for Active Resistive Wall Mode (RWM) Feedback Control

PHYSICS OF CFETR. Baonian Wan for CFETR physics group Institute of Plasma Physcis, Chinese Academy of Sciences, Hefei, China.

Magnetic Flux Surface Measurements at Wendelstein 7-X

Alpha Particle Transport Induced by Alfvénic Instabilities in Proposed Burning Plasma Scenarios

Plasma Start-Up Results with EC Assisted Breakdown on FTU

Hybrid Kinetic-MHD simulations with NIMROD

Introduction to Nuclear Fusion. Prof. Dr. Yong-Su Na

RFP helical equilibria reconstruction with V3FIT-VMEC

Evolution of Bootstrap-Sustained Discharge in JT-60U

Integrated equilibrium reconstruction and MHD stability analysis of tokamak plasmas in the EU-IM platform

GA A22684 CONTROL OF PLASMA POLOIDAL SHAPE AND POSITION IN THE DIII D TOKAMAK

FAST 1 : a Physics and Technology Experiment on the Fusion Road Map

DT Fusion Ignition of LHD-Type Helical Reactor by Joule Heating Associated with Magnetic Axis Shift )

Reconstruction of Pressure Profile Evolution during Levitated Dipole Experiments

Derivation of dynamo current drive in a closed current volume and stable current sustainment in the HIT SI experiment

Issues in Neoclassical Tearing Mode Theory

ITER Plasma Vertical Stabilization

Mission Elements of the FNSP and FNSF

Effects of Alpha Particle Transport Driven by Alfvénic Instabilities on Proposed Burning Plasma Scenarios on ITER

Mathematical Modeling and Dynamic Simulation of a Class of Drive Systems with Permanent Magnet Synchronous Motors

Understanding Edge Harmonic Oscillation Physics Using NIMROD

Plasma formation in MAST by using the double null merging technique

Necessary and Sufficient Conditions for Input-Output Finite-Time Stability of Linear Time-Varying Systems

Return Difference Function and Closed-Loop Roots Single-Input/Single-Output Control Systems

Hybrid Kinetic-MHD simulations with NIMROD

Results From Initial Snowflake Divertor Physics Studies on DIII-D

L Aquila, Maggio 2002

Impact of High Field & High Confinement on L-mode-Edge Negative Triangularity Tokamak (NTT) Reactor

Dependence of Achievable β N on Discharge Shape and Edge Safety Factor in DIII D Steady-State Scenario Discharges

Innovative fabrication method of superconducting magnets using high T c superconductors with joints

Implementation of a long leg X-point target divertor in the ARC fusion pilot plant

Flow and dynamo measurements in the HIST double pulsing CHI experiment

AN UPDATE ON DIVERTOR HEAT LOAD ANALYSIS

15 Inductance solenoid, shorted coax

for the French fusion programme

RWM Control in FIRE and ITER

Conceptual design of an energy recovering divertor

Highlights from (3D) Modeling of Tokamak Disruptions

Übersetzungshilfe / Translation aid (English) To be returned at the end of the exam!

Physics of fusion power. Lecture 14: Anomalous transport / ITER

Plasma Profile and Shape Optimization for the Advanced Tokamak Power Plant, ARIES-AT

Dynamical plasma response of resistive wall modes to changing external magnetic perturbations

Resistive Wall Mode Observation and Control in ITER-Relevant Plasmas

Observation of modes at frequencies above the Alfvén frequency in JET

arxiv: v1 [physics.plasm-ph] 24 Nov 2017

RWM Control Code Maturity

IMPACT OF EDGE CURRENT DENSITY AND PRESSURE GRADIENT ON THE STABILITY OF DIII-D HIGH PERFORMANCE DISCHARGES

Technological and Engineering Challenges of Fusion

arxiv:physics/ v1 [physics.plasm-ph] 5 Nov 2004

Comparison of plasma breakdown with a carbon and ITER-like wall

KSTAR Equilibrium Operating Space and Projected Stabilization at High Normalized Beta

STELLARATOR REACTOR OPTIMIZATION AND ASSESSMENT

A multivariate analysis of disruption precursors on JET and AUG

Comparison of plasma breakdown with a carbon and ITER-like wall

Introduction to Process Control

DEMO Concept Development and Assessment of Relevant Technologies. Physics and Engineering Studies of the Advanced Divertor for a Fusion Reactor

A kinetic neutral atom model for tokamak scrape-off layer tubulence simulations. Christoph Wersal, Paolo Ricci, Federico Halpern, Fabio Riva

FIFTH IAEA DEMO PROGRAMME WORKSHOP

Bolometry. H. Kroegler Assciazione Euratom-ENEA sulla Fusione, Frascati (Italy)

Control Systems Design

F. Exception Handling Physics and Disruption Mitigation Control

and expectations for the future

First plasma operation of Wendelstein 7-X

MHD-particle simulations and collective alpha-particle transport: analysis of ITER scenarios and perspectives for integrated modelling

The Levitated Dipole Experiment: Towards Fusion Without Tritium

Reversed Field Pinch: basics

Effects of stellarator transform on sawtooth oscillations in CTH. Jeffrey Herfindal

Dynamical plasma response of resistive wall modes to changing external magnetic perturbations a

Transcription:

A MIMO architecture for integrated control of plasma shape and flux expansion for the EAST tokamak R. Albanese 1 R. Ambrosino 2 G. Calabrò 3 A. Castaldo 1 F. Crisanti 3 G. De Tommasi 1 L. Liu 4 Z. P. Luo 4 A. Mele 1 A. Pironti 1 B. J. Xiao 4 Q. P. Yuan 4 1 Università degli Studi di Napoli Federico II/CREATE, Napoli, Italy 2 Università degli studi di Napoli Parthenope/CREATE, Napoli, Italy 3 ENEA, Frascati (Rome), Italy 4 Institute of Plasma Physics, Hefei, PRC 2016 IEEE Multi-Conference on Systems and Control September 19 22, 2016, Buenos Aires, Argentina G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 1 / 20

Outline 1 Introduction 2 EAST simulation tools 3 Proposed architecture 4 Simulation results G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 2 / 20

Control problem Introduction Plasma magnetic control Control the plasma current Control (stabilize) the plasma vertical position Control the plasma shape Shape control represents an effective tool to reduce the thermal load on the divertor structures by performing a periodic movement of the strike-points (strike-point sweeping) by reaching advanced magnetic configurations such as the so called snowflake configuration G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 3 / 20

Snowflake configurations Introduction Nucl. Fusion 55 (2015) 083005 G. Calabrò et al Figure 4. Plasma boundary of optimized QSF (blue solid line) and reference SN equilibria (black solid line), at low β P, calculated by the CREATE-NL code (see table 1). Also the x-point separation D, the connection length L, the polodal magnetic flux expansion f m in the outer G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 4 / 20

Isoflux plasma shape control Introduction Let g i be the abscissa along i-th control segment (g i = 0 at the first wall) Plasma shape control is achieved by imposing g iref g i = 0 on a sufficiently large number of control segments (gap control) Moreover, if the plasma shape intersect the i-th control segment at g i, the following equation is satisfied ψ(g i ) = ψ X where ψ X is the flux at the X-point Shape control can be achieved also by controlling to 0 the (isoflux control) ψ(g iref ) ψ X = 0 G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 5 / 20

Introduction Control of plasma shape and flux expansion The flux expansion can be controlled directly by using the shape controller. ψ X is the reconstructed flux at the X-point, ψ O, ψ P, ψ Q are the fluxes reconstructed on the three points selected to control the flux expansion Assuming that plasma shape control is achieved, then the control of the flux expansion can be achieved by controlling (to possibly different values) the following flux differences χ 1 = ψ O ψ O = ψo ψ X, χ 2 = ψ P ψ P = ψp ψ X, χ 3 = ψ Q ψ Q = ψq ψ X. (1a) (1b) (1c) G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 6 / 20

Contributions Introduction Validate a set of Matlab/Simulink simulation tools for the EAST tokamak Propose a control architecture for integrated plasma shape and flux expansion control at EAST This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014-2018 G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 7 / 20

The CREATE tools EAST simulation tools The proposed EAST simulation tools are based on the CREATE equilibrium codes CREATE-L and CREATE-NL+ are two plasma magnetic equilibrium codes both are capable to generate linearized models that describes the behavior of the plasma/circuit dynamic around a given equilibrium Plasma/circuits linearized model δẋ(t) = Aδx(t) + Bδu(t) δy(t) = Cδx(t) + Dδu(t), (2a) (2b) with δx = ( δi V δi p δi E ) T and δu = ( δuv U p δi C δw δẇ ) T. G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 8 / 20

EAST simulation tools Existing EAST Plasma Control System (PCS) In order to validate the CREATE models, a Simulink version of the existing EAST PCS has been built G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 9 / 20

EAST simulation tools Model validation - EAST pulse # 56603 Figure : Comparison between simulated and experimental plasma current I p. G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 10 / 20

EAST simulation tools Model validation - EAST pulse # 56603 Figure : Comparison between simulated and experimental current in the in-vessel coil I C used to control plasma vertical position z p. G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 11 / 20

EAST simulation tools Model validation - EAST pulse # 56603 Figure : Comparison between simulated and experimental flux control errors. G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 12 / 20

EAST simulation tools Analysis of the plasma vertical stabilization with the existing EAST PCS By means of a model-based analysis, at EAST plasma vertical stabilization is achieved by combining the control actions of both the Fast Z and the Plasma Shape and Position Control Fast Z slows down the vertical instability (i.e., moves the correspondent unstable eigenvalue closer to the imaginary axis) driving the current into the invessel coils by using a fast power supply The plasma column is then vertically stabilized using the slowest superconductive PF circuits. Given such a behaviour, when designing a new shape controller the vertical stabilization should also been taken explicitly into account, making the overall control task particularly difficult G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 13 / 20

current driven mode; 2. the shape controller adopts the isoflux control logic (currently in use on EAST) and is Control architecture Proposed Architecture designed according to a MIMO, XSC-like architecture. The block diagram for the proposed control architecture is shown in Figure 1. FIGURE 1. PROPOSED CONTROL ARCHITECTURE BLOCK DIAGRAM G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 14 / 20

Proposed Architecture Proposed vertical stabilization In order to achieve decoupling between the plasma position and the plasma shape control, the following vertical stabilization controller has been designed and validated in simulation on different equilibria where V IC (s) = 1 + sτ 1 1 + sτ 2 typically τ 1 > τ 2 > τ 3 ; ( K1 (I p )s 1 + sτ 3 z fast (s) + K 2 I IC (s) the plasma vertical velocity ż fast is obtained by filtering the real-time reconstruction of the vertical position; ), (3) all controller parameters can be kept constant, with the exception of K 1 (I p ) which must be scaled according to I p (t). G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 15 / 20

Robustness analysis accomplish this task, and therefore a strong coupling between this control loop and the shape controller occurs. Hence, complications arise in the design of an effective shape controller, since also this control loop concurs to vertically stabilize the plasma column; Proposed Architecture 2. it is not possible to vertically stabilize the plasma with the In-Vessel coils in current-driven operation mode without having an unstable linear controller. For these reasons, an alternative design is proposed for the VS system under the assumption that the IC coils are operated in voltage-driven mode. The voltage to be applied to the IC coils is computed on the basis of a linear combination of the vertical velocity of the plasma centroid and the IC current. In particular: ( ) ( ( ) ( ) ( )) where and the gain K1(Ip) has to be scaled according to the inverse of the plasma current at the flattop. The plasma vertical velocity is reconstructed in the same way currently exploited in the EAST Fast Z controller, i.e. the zp signal (named lmszx1 in the current PCS) is computed as a FIGURE 2. VS SYSTEM - NICHOLS CHARTS FOR THREE linear combination of magnetic diagnostics, Figure : Nichols chart of the open-loop DIFFERENT SISO LINEARIZED transfer MODELS function for three different whose weights are stored in the E matrix, which plasma equilibria. is preloaded the EAST PCS. The numerical derivative of this signal is then calculated by means of a 5 G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 16 / 20

Proposed Architecture Integrated shape and flux expansion control The design of the integrated control is based on the static model δr x(t) cr T x δz x(t) δχ pb (t) = c T z x C pb δi PF (t) = C δi PF (t), (4) δχ fe (t) C fe The plant (4) is non-rightinvertible Given a generic set of references, the best performance that can be achieved in steady state is to control to zero the error on linear combinations of controlled variables, to be chosen using the Singular Value Decomposition (SVD) of a weighted version of the C matrix (XSC-like controller) G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 17 / 20

Control points Simulation results G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 18 / 20

Simulation results Simulation results Flux errors at the control points Fluxes in the at the two points in the scrape-off layer G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 19 / 20

Conclusions Conclusions A set of simulation tools has been validated against the EAST experiment A new architecture for the EAST shape controller has been proposed to perform integrated control of plasma shape and flux expansion to decouple the vertical stabilization from the plasma shape control First experimentation are planned in late November 2016 Thank you! G. De Tommasi (Federico II) 2016 IEEE MSC Buenos Aires, Argentina 19 22 September 2016 20 / 20