An Intelligent ANFIS Controller Design for a Mobile Robot

被引：0
|
作者：
Chen, Yi-Hong [1 ]
Chang, Chia-Der [1 ]
机构：
[1] Ming Chi Univ Technol, Dept Elect Engn, 84 Gongzhuan Rd, New Taipei, Taiwan
来源：
PROCEEDINGS OF 4TH IEEE INTERNATIONAL CONFERENCE ON APPLIED SYSTEM INNOVATION 2018 ( IEEE ICASI 2018 ) | 2018年
关键词：
PID controller; Fuzzy controller; Adaptive Neuro-Fuzzy Inference System (ANFIS); Mobile robot;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper used Adaptive Neural Fuzzy Inference System(ANFIS) to enhance performance on the movement of a mobile robot. The traditional PID and Fuzzy controller cannot satisfy our desired output. Owing to ANFIS can execute intelligent self-learning to advance the efficacy of Fuzzy controller. Therefore, we utilized ANFIS controller with traditional PID controller to show that the performance of a mobile robot can be much improved. The proposed intelligent control enhances the dynamic response of mobile robot while avoiding obstacle.
引用
收藏
页码：445 / 448
页数：4
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