The modeling of a Tokamak plasma discharge, from first principles to a flight simulator

2021 ◽  
Author(s):  
Emiliano Fable ◽  
Filip Janky ◽  
W Treutterer ◽  
Michael Englberger ◽  
Raphael Schramm ◽  
...  
Keyword(s):  
Control System ◽  
First Principles ◽  
Plasma Discharge ◽  
Tokamak Plasma ◽  
Flight Simulator ◽  
Plasma Model ◽  
Simulation Framework ◽  
Control Room ◽  
Modeling Tool ◽  
Control Schemes

Abstract A newly developed tool to simulate a tokamak full--discharge is presented. The tokamak "flight--simulator" Fenix couples the tokamak control system with a fast and reduced plasma model, yet realistic enough to take into account several of the plasma non--linearities. Distinguishing feature of this modeling tool is that it only requires the Pulse Schedule (PS) as input to the simulator. The output is a virtual realization of the full discharge, which time traces can then be used to judge if the PS satisfies control/physics goals or needs to be revised. This tool is thought for routine use in the control--room before each pulse is performed, but can also be used off--line to correct PS in advance, or to develop and validate reduced models, control schemes, and in general the simulation framework.

Design and Test of the Control System for the Fast Disruption Mitigation Valve on J-TEXT

2014 ◽  
Vol 986-987 ◽  
pp. 1058-1062
Author(s):  
Shen Yang Wang ◽  
Zhong Yong Chen ◽  
Yi Hui Luo
Keyword(s):  
Control System ◽  
Gas Injection ◽  
Plasma Discharge ◽  
Tokamak Plasma ◽  
Test Results ◽  
Negative Consequences ◽  
Promising Technique ◽  
Labview Software ◽  
Disruption Mitigation ◽  
Data Acquisition Card

Disruptions are highly undesired events during tokamak plasma discharge, and now massive gas injection (MGI) is the most promising technique mitigating all negative consequences of a disruption. A fast disruption mitigation valve has been designed and tested for J-TEXT tokamak based on eddy-current repulsion mechanism. In order to get the key operating parameters of the valve such as voltage and gas pressure in real time and to realize remote automatic control, a control system on LabVIEW software platform based on hardwires of sensors, relays, Advantech industrial computer and NI-6221 data acquisition card has also been designed. The experimental test results show that the control system works well.

Development of a generic multipurpose tokamak plasma discharge flight simulator

2011 ◽  
Vol 86 (6-8) ◽  
pp. 535-538 ◽  
Author(s):  
P. Moreau ◽  
S. Bremond ◽  
N. Ravenel ◽  
S. Mannori ◽  
O. Barana ◽  
...  
Keyword(s):  
Plasma Discharge ◽  
Tokamak Plasma ◽  
Flight Simulator

Polarimetry data inversion in conditions of tokamak plasma: Model based tomography concept

2015 ◽  
Vol 96-97 ◽  
pp. 756-759
Author(s):  
B. Bieg ◽  
J. Chrzanowski ◽  
Yu. A. Kravtsov ◽  
D. Mazon
Keyword(s):  
Tokamak Plasma ◽  
Plasma Model ◽  
Model Based ◽  
Data Inversion

Accuracy and Precision of a Control System for an Elbow Joint Simulator

2008 ◽  
Author(s):  
Patrick J. Schimoler ◽  
Jeffrey S. Vipperman ◽  
Laurel Kuxhaus ◽  
Daniel D. Budny ◽  
Angela M. Flamm ◽  
...  
Keyword(s):  
Control System ◽  
Soft Tissue ◽  
Radial Head ◽  
Elbow Joint ◽  
Joint Motion ◽  
Joint Mechanics ◽  
Scientific Investigations ◽  
Accuracy And Precision ◽  
Control Schemes ◽  
Joint Implants

Joint motion simulators (JMS’s) have been developed for many applications enabling the repeatable testing of prostheses, scientific investigations of joint mechanics and the study of surgical procedures.[1–4] Although Morrey has reported that radial head implants have lower post-operative satisfaction than other joint implants[5] and Dunning has examined several issues with radial heads, many problems remain.[6] It is therefore beneficial to develop a simulator capable of evaluating radial head implants. A robust simulator can also provide the ability to test soft tissue strains at the elbow and compare control schemes that may elucidate the body’s means of controlling multiaxial multimuscle systems.

Dynamic Model Development of Linear Fresnel Solar Field

2015 ◽  
Author(s):  
Elina Hakkarainen ◽  
Matti Tähtinen ◽  
Hannu Mikkonen
Keyword(s):  
Control System ◽  
Dynamic Simulation ◽  
Model Development ◽  
Control Mode ◽  
Plant Behavior ◽  
Clear Sky ◽  
Control Scheme ◽  
Control Schemes ◽  
And Control ◽  
Solar Field

As a dispatchable clean energy source, concentrated solar power (CSP) can be one of the key technologies to overcome many problems related to fossil fuel consumption and electricity balancing problems. Solar is a variable location, time and weather dependent source of energy, which sets challenges to solar field operations. With proper dynamic simulation tools it is possible to study dynamics of CSP field under changing weather conditions, find optimum control strategies, and plan and predict the performance of the field. CSP technology considered in this paper, linear Fresnel reflector (LFR), is a proven line focusing technology, having simpler design but suffering in optical performance compared to more mature parabolic trough (PT) technology. Apros dynamic simulation software is used to configure and simulate the solar field. Apros offers a possibility to dynamically simulate field behavior with varying collector configuration, field layout and control mode under varying irradiation conditions. The solar field applies recirculation (RC) as a control mode and direct steam generation (DSG) producing superheated steam. DSG sets challenges for the control scheme, which main objective is to maintain constant steam pressure and temperature at the solar field outlet under varying inlet water and energy conditions, while the steam mass flow can vary. The design and formulation of an entire linear Fresnel solar field in Apros is presented, as well as the obtained control scheme. The field includes user defined amount of collector modules, control system and two modules describing solar irradiation on the field. As two-phase water/steam flow is used, an accurate 6-equation model is used in Apros. Irradiation on the solar field under clear sky conditions is calculated according to time, position and Linke turbidity factor. Overcast conditions can be created by the clear sky index. For LFR single-axis sun tracking system is applied. In order to test the model functionality and to investigate the field behavior, thermal performance of the field was simulated at different dates at two different locations, and the results were compared. Similar field dimensions and control schemes were applied in each case, and simulations were done for full 24 hours in order to study the daily operations and ensure process stability. Control scheme functionality is evaluated based on the plant behavior in simulation cases having different operational conditions. The proper operability of the configured LFR model is evaluated. Obtained performance results show differences between locations and variation depending on season and time. The importance of a proper control system is revealed. The results show that the dynamic model development of a solar field is necessary in order to simulate plant behavior under varying irradiation conditions and to further develop optimal field control schemes and field optimizing process. The future work in the development of the LFR model presented will focus on dynamic response behavior development under transient conditions and field start-up and shut down procedure development.

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