Programs
- M. Tech. in Automotive Engineering -
- Fellowship In Interventional Pulmonology and Pulmonary Critical care - Fellowship
Publication Type : Conference Proceedings
Publisher : Proceedings of the Second International Conference on Computer and Communication Technologies, Springer
Source : Proceedings of the Second International Conference on Computer and Communication Technologies, Springer, Volume 381 , p.45-53 (2015)
Url : http://link.springer.com/chapter/10.1007/978-81-322-2526-3_6
Keywords : Arduino UNO R3, Fuzzy logic controller, Fuzzy rule base accelerometer, Self-balancing
Campus : Coimbatore
School : School of Engineering
Department : Electrical and Electronics
Year : 2015
Abstract : Two-wheeled self-balancing vehicle commercially known as “Segway” is a promising upcoming mode of transportation in many fields viz. corporate worlds, tourist place, medical field, or for personal use. In this paper, a control strategy and sensor-based control of two-wheeled self-balancing vehicle is proposed. The concept of the stabilizing the vehicle is inspired from the inverse pendulum theory. Based on steady-state space mathematical model, the entire system control is divided into two subsystems: self-balance control system (forward or backward motion balancing) and yaw control system (left or right movement). The control strategy used is fuzzy logic and is applied to both subsystems. A prototype model of the self-balancing vehicle is developed and the proposed mathematical model and control logic are verified by testing on the developed prototype.
Cite this Research Publication : S. S. Babu and Dr. Anju Pillai S., “Design and Implementation of Two--Wheeled Self-Balancing Vehicle Using Accelerometer and Fuzzy Logic”, Proceedings of the Second International Conference on Computer and Communication Technologies, vol. 381 . Springer, pp. 45-53, 2015