Adaptive fuzzy sliding-mode control for variable displacement hydraulic servo system
Journal
IEEE International Conference on Fuzzy Systems
Date Issued
2007
Author(s)
Abstract
The variable displacement hydraulic servo system performs specific characteristics on non-linearity and time-varying. An exact model-based controller is difficult to be realized. In this study, the design method and experimental implementation of an adaptive fuzzy sliding-mode controller (AFSMC) are presented, which has on-line learning ability for dealing with the system time-varying and non-linear uncertainty behaviors for adjusting the control rule parameters. The tuning algorithms are derived in the sense of the Lyapunov stability theorem; thus, the stability of the system can be guaranteed. The experimental results show that the AFSMC can perform excellent position control and path control for the variable displacement hydraulic servo system.
SDGs
Type
conference paper