Hydraulic APC System Study Based on Fuzzy Adaptive Controller

In this study, we propose a novel fuzzy adaptive control technique for output tracking of uncertain nonlinear system, with experiment application to the APC system in roll mills. Firstly, the system is divided into two parts, one is known linear part and the other is unknown nonlinear part. Secondly, an adaptive fuzzy basic function is used only to identify the upper bound of the unknown part, which will reduce the search space. Furthermore, this will make study faster. We then construct adaptive controller utilizing the tracking error, and then synthesis the adaptive controller law using modeling error. Performance analysis utilizing a Lyapunov synthesis approach proves the superiority of the adaptive controller in terms of faster and improved tracking and parameter convergence. Finally, experiences are conducted on mill APC (Automatic Position Control) system and the results demonstrate and confirm the theoretical results.