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SERRANO, F.; CABALLERO, A.; YEN, K.; BŘEZINA, T.
Original Title
Control of Stewart platform with fuzzy logic and artificial neural network compensation
English Title
Type
Paper in proceedings (conference paper)
Original Abstract
The paper is focused on the analysis of the Stewart platform proposed for the development of a device that will be used in the determination of mechanical properties of materials and that should substitute spinal segmants of human bodies. Due to nonlinear characteristics of the Stewart platform, classical control techniques, such as PID control, are difficult to design for this kind of mechanical system. Therefore, a fuzzy controller was developed to minimize the positional and rotation errors for the platform in the task space. An ANN compensator was designed to improve the performance of the fuzzy controller and a simulation was done to compare the two controllers.
English abstract
Keywords
stewart platform, control, fuzzy logic, artificial neural network
Key words in English
Authors
RIV year
2010
Released
01.09.2007
Publisher
Springer
Location
Berlin
ISBN
978-3-540-73955-5
Book
Recent Advances in Mechatronics
Edition
Mech
Pages from
156
Pages to
160
Pages count
5
BibTex
@inproceedings{BUT30278, author="Fernando {Serrano} and Amaury {Caballero} and Kang {Yen} and Tomáš {Březina}", title="Control of Stewart platform with fuzzy logic and artificial neural network compensation", booktitle="Recent Advances in Mechatronics", year="2007", series="Mech", number="1", pages="156--160", publisher="Springer", address="Berlin", isbn="978-3-540-73955-5" }