A Hybrid Control System for an Unstable Non-Stationary Plant with a Predictive Model

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, wa...

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Veröffentlicht in:Automation and remote control Jg. 79; H. 11; S. 2005 - 2017
Hauptverfasser: Mitrishkin, Yu. V., Golubtsov, M. P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Moscow Pleiades Publishing 01.11.2018
Springer Nature B.V
Schlagworte:
Adaptive algorithms
Adaptive control
CAE) and Design
Calculus of Variations and Optimal Control; Optimization
Computer-Aided Engineering (CAD
Control
Control algorithms
Control in Technical Systems
Control theory
Hybrid control
Hybrid systems
Mathematical models
Mathematics
Mathematics and Statistics
Mechanical Engineering
Mechatronics
Parameter estimation
Predictive control
Robotics
State observers
Synthesis
Systems Theory
Tokamak devices
Vertical motion
tokamak
unstable non-stationary plant
plasma
adaptive state observer
adaptive predictive model
hybrid system
ISSN:0005-1179, 1608-3032
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:0005-1179
1608-3032
DOI:10.1134/S000511791811005X