Linear Quadratic Control: An Introduction
Linear Quadratic Control: An Introduction
Nonlinear modelling and control of helicopters
Automatica (Journal of IFAC)
Adaptive fuzzy logic control of dynamic balance and motion for wheeled inverted pendulums
Fuzzy Sets and Systems
The Flexible Two-Wheeled Self-balancing Robot Based on Hopfield
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
Balancing of a two-wheeled robotic machine with payload using PD/FL controllers
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
Brief paper: Robust adaptive motion/force control for wheeled inverted pendulums
Automatica (Journal of IFAC)
Sliding-mode velocity control of mobile-wheeled inverted-pendulum systems
IEEE Transactions on Robotics
The mono-wheel robot with dynamic stabilisation
Robotics and Autonomous Systems
Effect of limiting wheel slip on two-wheeled robots in low traction environments
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
International Journal of Systems, Control and Communications
Takagi-Sugeno fuzzy modeling of a two-wheeled inverted pendulum robot
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 0.00 |
As a result of the increase in robots in various fields, the mechanical stability of specific robots has become an important subject of research. This study is concerned with the development of a two-wheeled inverted pendulum robot that can be applied to an intelligent, mobile home robot. This kind of robotic mechanism has an innately clumsy motion for stabilizing the robot's body posture. To analyze and execute this robotic mechanism, we investigated the exact dynamics of the mechanism with the aid of 3-DOF modeling. By using the governing equations of motion, we analyzed important issues in the dynamics of a situation with an inclined surface and also the effect of the turning motion on the stability of the robot. For the experiments, the mechanical robot was constructed with various sensors. Its application to a two-dimensional floor environment was confirmed by experiments on factors such as balancing, rectilinear motion, and spinning motion.