Author/Authors :
Jia Shi، نويسنده , , Furong Gao and Tie-Jun Wu، نويسنده ,
Title Of Article :
Robust design of integrated feedback and iterative learning control of a batch process based on a 2D Roesser system
Latin Abstract :
To improve stability and convergence, feedback control is often incorporated with iterative learning control (ILC), resulting in
feedback feed-forward ILC (FFILC). In this paper, a general form of FFILC is studied, comprising of two feedback controllers, a
state feedback controller and a tracking error compensator, for the robustness and convergence along time direction, and an ILC for
performance along the cycle direction. The integrated design of this FFILC scheme is transformed into a robust control problem of
an uncertain 2D Roesser system. To describe the stability and convergence quantitatively along the time and the cycle direction, the
concepts of robust stability and convergence along the two axes are introduced. A series of algorithms are established for the FFILC
design. These algorithms allow the designer to balance and choose optimization objectives to meet the FFILC performance requirements.
The applications to injection molding velocity control show the good effectiveness and feasibility of the proposed design
methods.
NaturalLanguageKeyword :
Injectionmolding , Linear matrix inequality (LMI) , Iterative learning control (ILC) , Tracking error compensator , 2D Roesser system , Robust control , Robust H1 performance
JournalTitle :
Studia Iranica
