학술논문

Intelligent algorithm design by using fuzzy inference on two-wheeled self-balancing vehicle
Document Type
Conference
Source
2017 International Conference on Applied System Innovation (ICASI) Applied System Innovation (ICASI), 2017 International Conference on. :1825-1828 May, 2017
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Photonics and Electrooptics
Robotics and Control Systems
Signal Processing and Analysis
Fuzzy logic
Hardware
Gyroscopes
IEEE Sections
Loading
Force
Conferences
PID controller
fuzzy inference
two-wheeled self-balancing vehicle (TWSBV)
intelligent algorithm
Language
Abstract
Based on the merits of handy and flexibility for two-wheeled self-balancing vehicles (TWSBV), some of the practicable applications have been enhanced and extended. In this research, we implement an empirical design method by utilizing distinct fuzzy controllers for a TWSBV, which can be implemented by Arduino Leonardo development platform, with performing the standing balance, moving balance and carrying balance. By the experiment with TWSBV platform, we demonstrate that the proposed approach outperforms the baselines.