Title :
System identification of hydraulic system using RLS algorithm for feedforward position control
Author :
Kyeong Ha Lee; Seung Guk Baek; Jong Yoon Choi; Jae Jun Park; Hyouk Ryeol Choi; Hyungpil Moon; Ja Choon Koo
Author_Institution :
School of Mechanical Engineering, SungKyunKwan University, Suwon 151-742, Korea
Abstract :
In this paper, system identification algorithm of an electro-hydraulic system for feedforward position control method is proposed. Feedforward controller using inverse model of feedback system generates filtered signals that compensate the magnitude and phase. In this manner, the feedback system has been properly identified. We estimated the system as linear discrete time transfer function by recursive least squares algorithm. The real-time experiment is conducted by NI-CompactRio and Labview, and MATLAB/Simulink for the validation of suggested method.
Keywords :
"Transfer functions","Mathematical model","Feedforward neural networks","Closed loop systems","Position control","MATLAB"
Conference_Titel :
Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
DOI :
10.1109/URAI.2015.7358929
