Title :
On the design of integral and proportional integral observers
Author :
Busawon, Krishna K. ; Kabore, Pousga
Author_Institution :
Sch. of Eng., Northumbria Univ., Newcastle upon Tyne, UK
Abstract :
This paper deals with the design of integral and proportional integral observers for linear uncertain systems. It is shown that, when only sensor noise is present in the system, integral observers permit to achieve good convergence and filtering properties. On the other hand, when modeling errors and sensor noise are present, it is shown that, for some classes of systems, the proportional integral observer allows to decouple completely the modeling uncertainties while keeping satisfactory convergence properties. A comparison of the classical proportional observer to the proposed observers are given via simulation examples
Keywords :
convergence; filtering theory; linear systems; noise; observers; uncertain systems; PI observer design; convergence; filtering properties; linear uncertain systems; modeling errors; proportional integral observer design; sensor noise; Convergence; Design engineering; Fault detection; Filtering; Linear systems; Noise measurement; Robustness; Sensor systems; Uncertain systems; Uncertainty;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.876916
