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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2023 Issue 12, Pages 6–17 (Mi at16240)

Topical issue

Adaptive control algorithm for unstable vertical plasma position in tokamak

Yu. V. Mitrishkinab, S. L. Ivanovab, K. S. Mukhtarovb

a Lomonosov Moscow State University
b V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow

Abstract: The problem considered includes the development and modeling of an adaptive control algorithm for unstable vertical plasma positioning in a vertically elongated tokamak. At each iteration, a new PID controller is automatically synthesized for the evolving plasma model identified using the least squares method. The parameters of the feedback controller were computed based on the desired placement of the poles of the closed-loop control system in the left half-plane of the complex plane. The initial control system model utilized was a robust system synthesized using Quantitative Feedback Theory (QFT). The system was simulated on a real-time digital test bed (https://www.ipu.ru/plasma/about).

Keywords: tokamak, plasma, vertical plasma instability, QFT method, observation-based identification, adaptation, automatic synthesis, real-time digital test bed.

Presented by the member of Editorial Board: A. I. Mikhal'skii

Received: 31.05.2023
Revised: 19.09.2023
Accepted: 30.09.2023

DOI: 10.31857/S0005231023120024


 English version:
Automation and Remote Control, 2023, 84:12, 1249–1258


© Steklov Math. Inst. of RAS, 2026