
Issues of Designing a Model Adaptive Controller Without a State Observer
Author(s) -
Najmaddin Abo Mosali,
AUTHOR_ID,
Syariful Syafiq Shamsudin,
AUTHOR_ID
Publication year - 2021
Publication title -
progress in aerospace and aviation technology
Language(s) - English
Resource type - Journals
ISSN - 2821-2924
DOI - 10.30880/paat.2021.01.01.001
Subject(s) - control theory (sociology) , adaptive control , observer (physics) , control engineering , computer science , controller (irrigation) , state observer , nonlinear system , state (computer science) , reference model , separation principle , control (management) , engineering , artificial intelligence , algorithm , agronomy , physics , software engineering , quantum mechanics , biology
It can be challenging to develop a controller using conventional techniques for a plant with a linear or nonlinear dynamical system or model uncertainty. Model adaptive control is a new alternative to classical control techniques and a simple way to update controller parameters. Because model reference adaptive control is unable to anticipate the state in real time if the state observer is not designed with, we will review some of the most major disadvantages of the most commonly used design techniques without state observer in this work.