TY - GEN
T1 - Implementation of OKID-based system identification and control to a DC-motor
AU - El Ferik, Sami
AU - Al-Buraiki, Omer S.
AU - Koesdwiady, Arief B.
PY - 2013
Y1 - 2013
N2 - Many open loop identification methods have been developed in the literature. In this paper, we compare some of them, especially for first and second order systems in order to benchmark the Observer Kalman Identification (OKID) method. The ultimate objective is to design an online optimal control. We proceed in different stages. First, we begin by collecting DC-motor Input and Output Data using Lab View. Then, we applied several identification techniques such as: Recursive Least Squares, Weighted Recursive Least Squares, Instrumental Variable, Subspace Identification, and finally, OKID. Based on the performance obtained in the identification stage, an optimal linear quadratic Gaussian integral control is proposed and implemented.
AB - Many open loop identification methods have been developed in the literature. In this paper, we compare some of them, especially for first and second order systems in order to benchmark the Observer Kalman Identification (OKID) method. The ultimate objective is to design an online optimal control. We proceed in different stages. First, we begin by collecting DC-motor Input and Output Data using Lab View. Then, we applied several identification techniques such as: Recursive Least Squares, Weighted Recursive Least Squares, Instrumental Variable, Subspace Identification, and finally, OKID. Based on the performance obtained in the identification stage, an optimal linear quadratic Gaussian integral control is proposed and implemented.
KW - DC motor
KW - Identification
KW - LGRI
KW - Least-Square
KW - OKID
UR - https://www.scopus.com/pages/publications/84875778897
U2 - 10.2316/P.2013.794-038
DO - 10.2316/P.2013.794-038
M3 - Conference contribution
AN - SCOPUS:84875778897
SN - 9780889869431
T3 - Proceedings of the IASTED International Conference on Modelling, Identification and Control
SP - 514
EP - 519
BT - IASTED Multiconferences - Proceedings of the IASTED International Conference on Modelling, Identification and Control, MIC 2013
ER -