Application of Type-1 and Type-2 Fuzzy Logic Controller for the Real Swarm Robot

Nyayu, Latifah Husni and Handayani, Ade Silvia and Nurmaini, Siti and Yani, Irsyadi (2019) Application of Type-1 and Type-2 Fuzzy Logic Controller for the Real Swarm Robot. iJOE, 15 (6). pp. 83-98. ISSN 2088-8708

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Official URL: https://doi.org/10.3991/ijoe.v15i06.10075

Abstract

Abstract—Navigation is one of the typical problem domains occurred in studying swarm robot. This task needs a special ability in avoiding obstacles. This research presents the navigation techniques using type 1 fuzzy logic and interval type 2 fuzzy logic. A comparison of those two fuzzy logic performances in controlling swarm robot as tools for complex problem modeling, especially for path navigation is presented in this paper. Each hierarchical of fuzzy logic shows its advantages and disadvantages. For testing the robustness of type-1 fuzzy logic and interval type-2 fuzzy logic algorithms, 3 robots for the real swarm robot experiment are used. Each is equipped with one compass sensor, three distance sensors, and one X-Bee communication module. The experimental results show that type-2 fuzzy logic has better performance than type-1 fuzzy logic.

Item Type: Article
Uncontrolled Keywords: Interval type 2 fuzzy logic, navigation, type 1 fuzzy logic, swarm robot
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Electrical Engineering > Misc
Depositing User: Mrs Trisni Handayani
Date Deposited: 25 Mar 2022 01:19
Last Modified: 27 Oct 2022 02:03
URI: http://eprints.polsri.ac.id/id/eprint/11084

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