Journal of Nuclear Science, Engineering and Technology (JONSAT)
In cooperation with the Iranian Nuclear Society

Modeling of vacuum vessel pressure and model-based controller design for pressure profile control in Damavand Tokamak

Document Type : Research Paper

Authors

H. Rasouli 1
M. Aliyari Shuredeli 2
M. Amini 2

1 Plasma and Nuclear Fusion Research School, Nuclear Science and Technology Research Institute, AEOI, P.O. Box: 14399-51113, Tehran - Iran

2 Control Department, Faculty of Electrical Engineering, Khwaja Nasiruddin Tusi University, P.O. Box: 16315-1355, Tehran - Iran

https://doi.org/10.24200/nst.2022.1139.1750
Abstract
One of the essential systems for the upgrade of Damavand Tokamak is the automatic control of the vacuum vessel pressure profile. This research performs the identification, modeling, and control of the vacuum chamber pressure in Damavand Tokamak. As a first step, the experimental structure is designed and implemented for the application of an identification signal and for the collection of data from the vacuum vessel pressure. Following the creation of the base vacuum, the input voltage to the piezoelectric is changed and applied. At the same time, both the vacuum vessel pressure and applied voltage are measured. Using experimental data, several linear models are identified for control. Then, considering the practical limitations of the control signal (25<Vp<65), Ziegler-Nichols-based PID and predictive controllers are designed and simulated. Also, their performance results were compared and evaluated based on compensating for the system’s inherent delay, disturbance rejection, and reference model following. The simulation results show the performance of controllers.

Highlights

  1. M. Ariola, A. Pironti, Magntic control of tokamak plasmas, Springer (2008).

 

  1. M.S. Khan, S.B. Bhatt, Automatic pressure controller using microcontroller, Technical Report, (2010).

 

  1. Ch. Ou, L. Mao, Zh. Wang, An Investigation of intelligent control for gas injection pressure in GAIM, IEEE International conference on control and automation, May 30 to June 1, (2007).

 

  1. Sh-Ch Chen, Sh-M Chao, Closed-loop control of gas pressure in the gas-assisted injection molding process, ADV WILEY, January 5, (1999).

 

  1. J. Schacht, et al, Gate valve and shutter control system for the fusion experiment W7-X, IAEA 9th Technical Meeting, May 7, (2013).

 

  1. I. Carvalho, Real-time control for long ohmic alternate current discharges, IAEA 9th Technical Meeting, (2013).

 

  1. L. Wang, et al, Design and construction of vacuum control system on EAST, Fusion Engineering and Design, 83, 295-299 (2008).

 

  1. H. Rasouli, C. Rasouli, A. Koohi, Identification and control of plasma vertical position using neural network in Damavand Tokamak, Review of Scientific Instruments, 84, 023504 (2013).

 

  1. O. Nelles, Nonlinear System Identification, Springer-Verlag Berlin Heidelberg, 465-471 (2001).

 

  1. A.R. Fatehi, Process Control Systems, K.N. Toosi University of Technology Publications, (2013) (In Persian).

 

  1. G.C. Goodwin, K.S. Sin, Adaptive Filtering Prediction and Control, Dover Publications, Inc. MineoIa, New York, 120-121 (2009).

 

  1. Y.C. Kim, L.H. Keel, S.P. Bhattacharyya, Transient response Control via characteristic ratio assignment, IEEE Transactions on Automatic Control, 48, iss. 12, 2238-2244 (2003).

 

  1. S. Manabe, Coefficient Diagram method, 14th IFAC Symp. On Automatic Control in Aerospace, Seol, (1998).

Keywords

Tokamak
Plasma
Vacuum vessel
Rotary pump
Turbo molecular pump
Piezoelectric
Model identification
Predictive controller
  1. M. Ariola, A. Pironti, Magntic control of tokamak plasmas, Springer (2008).

 

  1. M.S. Khan, S.B. Bhatt, Automatic pressure controller using microcontroller, Technical Report, (2010).

 

  1. Ch. Ou, L. Mao, Zh. Wang, An Investigation of intelligent control for gas injection pressure in GAIM, IEEE International conference on control and automation, May 30 to June 1, (2007).

 

  1. Sh-Ch Chen, Sh-M Chao, Closed-loop control of gas pressure in the gas-assisted injection molding process, ADV WILEY, January 5, (1999).

 

  1. J. Schacht, et al, Gate valve and shutter control system for the fusion experiment W7-X, IAEA 9th Technical Meeting, May 7, (2013).

 

  1. I. Carvalho, Real-time control for long ohmic alternate current discharges, IAEA 9th Technical Meeting, (2013).

 

  1. L. Wang, et al, Design and construction of vacuum control system on EAST, Fusion Engineering and Design, 83, 295-299 (2008).

 

  1. H. Rasouli, C. Rasouli, A. Koohi, Identification and control of plasma vertical position using neural network in Damavand Tokamak, Review of Scientific Instruments, 84, 023504 (2013).

 

  1. O. Nelles, Nonlinear System Identification, Springer-Verlag Berlin Heidelberg, 465-471 (2001).

 

  1. A.R. Fatehi, Process Control Systems, K.N. Toosi University of Technology Publications, (2013) (In Persian).

 

  1. G.C. Goodwin, K.S. Sin, Adaptive Filtering Prediction and Control, Dover Publications, Inc. MineoIa, New York, 120-121 (2009).

 

  1. Y.C. Kim, L.H. Keel, S.P. Bhattacharyya, Transient response Control via characteristic ratio assignment, IEEE Transactions on Automatic Control, 48, iss. 12, 2238-2244 (2003).

 

  1. S. Manabe, Coefficient Diagram method, 14th IFAC Symp. On Automatic Control in Aerospace, Seol, (1998).
Journal of Nuclear Science, Engineering and Technology (JONSAT)
Volume 44, Issue 3 - Serial Number 105
October 2023
Pages 130-139

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