Design of Two-Wheeled Self-Balancing Robot Based on Sensor Fusion Algorithm
Jianhai Han, Xiangpan Li, Qi Qin
- 发表年份
- 2014
- 引用次数
- 11
摘要
A two-wheeled, self-balancing robot is proposed using 6-axis MEMS sensors MPU6050 to measure its posture. The sensors integrated with a 3-axis gyroscope and a 3-axis accelerometer, can output the inclination of the robot based on sensor fusion algorithm. A handheld remote controller sends out commands to the robot such as forward, back, and turning around. According to the inclination and orientation commands, a 16-bit MCU using the PID control algorithm calculates the required control voltage for the motors, to adjust the robot’s posture and keep the body balanced. In this paper, the principle of the sensor fusion algorithm is fully described, and its effects are verified through related experiments. The experimental results show that the proposed robot is practical and able to balance using inexpensive MEMS sensors.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002