Parameter Identification and Swing-up Control of an Acrobot System
Nobukazu Araki, Masaki Okada, Y. Konishi, H. Ishigaki
- Year
- 2006
- Citations
- 16
Abstract
This paper considers parameter identification and swing-up balancing control of a 2-link underactuated acrobat robot called an Acrobot. For parameter identification of the Acrobot, we propose a new method using the unscented Kalman filter (UKF). The effectiveness of this method has been clarified through a parameter identification experiment. Furthermore, we studied the Acrobot's swing-up and balancing control by applying the energy based control for swing-up control and the Lyapunov based scheduling procedure for balancing control. Simulation and experimental results indicated that this approach is suitable for control of the Acrobot.
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