Modeling and motion control of self-balance robots on the slope
Dingkun Liang, Ning Sun, Yiming Wu, Yongchun Fang
- Year
- 2016
- Citations
- 12
Abstract
As a typical underactuated system, the two-wheeled self-balance robot (TWSBR) is similar to the wheeled inverted pendulum in structure. There have been plenty of studies about TWSBRs operated on the horizontal plane; however, sometimes TWSBRs need to move on non-flat ground, e.g., slopes. To tackle the control problem of TWSBRs when they move on an inclined slope, the dynamic model of TWSBRs on the slope is established in this paper. Then, the equilibrium point of the system is analyzed, and the system dynamics are expressed in the state space form. Further, the linear quadratic regulator (LQR) method is used to design a linear controller. Finally, to validate the effectiveness of the proposed controller, numerical simulation results are presented.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991