Robust Adaptive Feedback Linearization Control of Human Exoskeletons
Racem Jribi, Boutheina Maalej, Nabil Derbel
- 发表年份
- 2019
- 引用次数
- 9
摘要
In this paper, an adaptive feedback linearization controller has been proposed to control a robotic orthosis system associated to paraplegic kids. The main idea is to control the hip and knee joints of the exoskeleton, based on the feedback linearization theory aiming to increase the brain plasticity. In fact, the controller law has been developed in order to transform the nonlinear dynamic system into a linear dynamic one, where all parameters are fixed and well known. The obtained controller is not robust against parameter variations. For this reason an adaptive approach is proposed to deal with the case of unkown parameters. Simulation results demonstrate that this controller provides a good tracking of the desired trajectories.
关键词
相关论文
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