Application of Type-1 and Type-2 Fuzzy Logic Controller for The RealSwarm Robot

International journal of online engineering

Ade Silvia Handayani¹  Nyayu Latifah Husni² 

[1] Politeknik Negeri Sriwijaya;Universitas Sriwijaya

关键词: interval type 2 fuzzy logic;    navigation;    type 1 fuzzy logic;    swarm robot;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

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.

【 授权许可】

Unknown