Yu. V. Mitrishkin, M. P. Golubtsov, “A hybrid control system for an unstable non-stationary plant with a predictive model”, Avtomat. i Telemekh., 2018, Issue 11,Pages <nobr>67

This article is cited in 1 paper

Control in Technical Systems

A hybrid control system for an unstable non-stationary plant with a predictive model

Yu. V. Mitrishkin^ab, M. P. Golubtsov^ba

^a Lomonosov Moscow State University, Moscow, Russia
^b Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

Abstract: A hybrid control system with a discrete adaptive predictive model for a nonstationary unstable third-order dynamic plant in continuous time is synthesized and modeled. An adaptive state observer, estimating a variable parameter of the plant model with respect to the a quadratic quality criterion, was synthesized. Continuous estimation of the plant parameter for a discrete sample is used in a discrete adaptive control algorithm with a predictive model. A linear model of the control plant mimics the unstable vertical motion of plasma in a tokamak with a vertical cross-section elongated along the vertical axis compared to a given equilibrium position.

Keywords: adaptive predictive model, unstable non-stationary plant, adaptive state observer, hybrid system, plasma, tokamak.

Presented by the member of Editorial Board: S. N. Vassilyev

Received: 02.02.2018

DOI: 10.31857/S000523100002777-8