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2021 | OriginalPaper | Chapter

Searching and Selection of a Flexible Manufacturing System by Means of Frame Model

Authors : J. F. Mammadov, K. S. Abdullaev, U. H. Agaev, I. R. Aliev, G. G. Huseynova

Published in: Cyber-Physical Systems: Modelling and Intelligent Control

Publisher: Springer International Publishing

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Abstract

In accordance with the topic of the chapter, to ensure the management and operation of archives of design work, a comparative analysis of information support algorithms was carried out, allowing you to choose flexible manufacturing systems (FMS), their standard elements, production modules, layout schemes and a set of information about their parameters or location of documents. The task was set and the model for creating algorithmic support based on the frame modeling for the effective search and selection of FMS, its production modules, and active elements by the scope of production and the purpose of each technical unit was implemented. To ensure the reliable functioning of the FMS automatic control system, an algorithm is proposed for the search for sensors based on frame slots and the values of the achievable positioning error of industrial robots and technological equipment. An algorithm for searching for sensors and controlling the active elements of the FMS production module is proposed. The software of an expert system of a frame type with fuzzy control of the shaft processing of a cylindrical gearbox for landing gear and bearings on a lathe in a flexible manufacturing module has been developed.

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previous chapter Conversion of CGA Models to Jordan Controlled Form for Design Significantly Nonlinear Control Systems

next chapter Robust Autonomous Control of a Multiply Connected Technological Object with Input Delays

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Title: Searching and Selection of a Flexible Manufacturing System by Means of Frame Model
Authors: J. F. Mammadov
K. S. Abdullaev
U. H. Agaev
I. R. Aliev
G. G. Huseynova
Publisher: Springer International Publishing
Book: Cyber-Physical Systems: Modelling and Intelligent Control
Print ISBN: 978-3-030-66076-5

Electronic ISBN: 978-3-030-66077-2

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-66077-2_11

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