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Gantry and bridge cranes neuro-fuzzy control by using
neural-like structures of geometric transformations

Publication date: 16.09.2014

Technical Transactions, 2013, Automatic Control Issue 3-AC (11) 2013, pp. 53-68

https://doi.org/10.4467/2353737XCT.14.057.3965

Authors

,
Iryna Verbenko
Lviv Polytechnic National University
All publications →
Roman Tkachenko
Lviv Polytechnic National University
All publications →

Titles

Gantry and bridge cranes neuro-fuzzy control by using
neural-like structures of geometric transformations

Abstract

Fuzzy logic is based on the use of natural language such as ‘far or close’, ‘cold or hot’ and etc. Its application range is very wide, from household appliances to the management of complex industrial processes. Many modern management tasks cannot be simply solved by classical methods because of the very great complexity of mathematical models. However, mathematical transformations are required for using the fuzzy logic theory on a computer and give a possibility to convert linguistic variables to their numerical value in the computer and vice versa. In this paper a gantry and bridge crane control system for managing carts swinging during transporting a load with high accuracy positioning during movement is presented. T-Controller fuzzy inference system as a base for crane management system is described and its main advantages in comparison with traditional systems are delineated. Schema of simplified crane model is introduced.

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Information

Information: Technical Transactions, 2013, Automatic Control Issue 3-AC (11) 2013, pp. 53-68

Article type: Original article

Titles:

Polish:

Gantry and bridge cranes neuro-fuzzy control by using
neural-like structures of geometric transformations

English:

Gantry and bridge cranes neuro-fuzzy control by using
neural-like structures of geometric transformations

Authors

Lviv Polytechnic National University

Lviv Polytechnic National University

Published at: 16.09.2014

Article status: Open

Licence: None

Percentage share of authors:

Iryna Verbenko (Author) - 50%
Roman Tkachenko (Author) - 50%

Article corrections:

-

Publication languages:

English