Generating Stable Periodic Motion in Underactuated Systems in the Presence of Parameter Uncertainty: Theory and Experiments
Abstract
Virtual holonomic constraints (VHCs) are extensively used in robotic applications such as bipedal walking. Although it is well-known that VHCs result in periodic motion of underactuated systems, achieving the same is challenging in physical systems due to parameter uncertainty. VHCs are typically imposed using feedback linearization and simulations show and experiments confirm that the internal dynamics can become unstable in the presence of parameter uncertainty. To address the challenging problem of generating stable periodic motion, we propose an extended high-gain observer (EHGO) based controller to enforce the VHCs. The proposed solution successfully recovers marginal stability of the internal dynamics. To stabilize a desired periodic orbit, we use the impulse controlled Poincaré map (ICPM) approach, where impulsive inputs are intermittently applied on a Poincaré section. Experimental results demonstrate that the model-based VHC controller and discrete ICPM controller together fail to stabilize the desired periodic motion but the EHGO-based VHC controller and ICPM controller successfully achieve stable periodic motion.
Recommended Citation
N. Kant and R. Mukherjee, "Generating Stable Periodic Motion in Underactuated Systems in the Presence of Parameter Uncertainty: Theory and Experiments," Mechatronics, vol. 102, article no. 103208, Elsevier; International Federation of Automatic Control (IFAC), Oct 2024.
The definitive version is available at https://doi.org/10.1016/j.mechatronics.2024.103208
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Extended high-gain observer; High-gain feedback; Impulsive control; Orbit; Underactuated system
International Standard Serial Number (ISSN)
0957-4158
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Elsevier; International Federation of Automatic Control (IFAC), All rights reserved.
Publication Date
01 Oct 2024

Comments
National Science Foundation, Grant CMMI-2043464