Simulator of a Robust Intelligent Robotic Manipulator Control System: the Application of Knowledge Base Optimizer on Quantum Computing—QCOptKB

Using the example of a multi-link robot manipulator were shown two ways to implement fuzzy controllers: one controller for all link controls, and a separate fuzzy controller for each link control. A method is proposed to eliminate the mismatch of the operation of separate independent fuzzy controlle...

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Bibliographic Details
Published inPhysics of particles and nuclei Vol. 55; no. 3; pp. 541 - 544
Main Authors Katulin, M. S., Ulyanov, S. V.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.06.2024
Subjects
Particle and Nuclear Physics
Physics
Physics and Astronomy
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Summary:Using the example of a multi-link robot manipulator were shown two ways to implement fuzzy controllers: one controller for all link controls, and a separate fuzzy controller for each link control. A method is proposed to eliminate the mismatch of the operation of separate independent fuzzy controllers. The methods of self-organized coordination control based on quantum computing technologies for creating robust intelligent control systems for robotic manipulators with 3DOF and 7DOF are described. The quantum supremacy of the developed end-to-end IT design for modeling robust intelligent control systems is demonstrated.
ISSN:1063-7796
1531-8559
DOI:10.1134/S106377962403047X