Open AccessLINEAR ALGEBRA AND OPTIMIZATION BASED CONTROLLER DESIGN FOR TRAJECTORY TRACKING OF TYPICAL CHEMICAL PROCESS
Author(s) -
Mario Emanuel Serrano,
Gustavo Scaglia,
Pablo M. Aballay,
Oscar A. Ortiz,
Vicente Mut
Publication year - 2014
Publication title -
latin american applied research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.123
H-Index - 23
eISSN - 1851-8796
pISSN - 0327-0793
DOI - 10.52292/j.laar.2014.468
Subject(s) - trajectory , tracking error , control theory (sociology) , tracking (education) , convergence (economics) , mathematical proof , controller (irrigation) , process (computing) , computer science , zero (linguistics) , iterative learning control , control (management) , control engineering , mathematics , engineering , artificial intelligence , psychology , pedagogy , linguistics , philosophy , physics , geometry , astronomy , agronomy , economics , biology , economic growth , operating system
This paper presents a new controller design to tracking trajectory of a typical chemical process. The plant model is represented by numerical methods and, from this approach; the control actions for an optimal operation of the system are obtained. Its main advantage is that the condition for the tracking error tends to zero and the calculation of control actions, are obtained solving a system of linear equations. The proofs of convergence to zero of the tracking error are presented. Simulation results show the good performance of the proposed control system.