Open AccessReference tracking of dynamic system using prefilter and integral extension
Author(s) -
Jean Oscard Domguia Teto,
Seewig Jörg
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/922/1/012001
Subject(s) - control theory (sociology) , extension (predicate logic) , embedding , computer science , tracking (education) , reference model , state space , control engineering , control (management) , mathematics , artificial intelligence , engineering , psychology , pedagogy , statistics , software engineering , programming language
In this paper, a control approach for reference tracking in state-space that combines two existing methods for designing two degrees-of-freedom controllers for reference tracking is presented. One of these methods is the use of a prefilter V to scale the reference input in order to compensate the existing DC-Gain of the closed-loop behavior. The second approach incorporates an integral extension in the state-space model by integrating the measured output and embedding it in the dynamic of the system to be controlled. Each of these approaches has advantages as well as disadvantages. By merging these two methods, the goal is to use the advantages of each method to overcome their drawbacks simultaneously.