TY - GEN
T1 - Design of variable gain super-twisting observer for nonlinear systems with sampled output
AU - Saigado, I.
AU - Moreno, J.
AU - Fridman, L.
AU - Poznyak, A.
AU - Chairez, I.
PY - 2010
Y1 - 2010
N2 - Most of state observers implemented in real systems are not able to measure the information continuously. The sliding observers are not an exception. Nevertheless, when state observers are used in numerical applications or even in real systems, one must implement a sampled based observer. This means that the output was obtained by means of a Analogical/Digital Converter. Using a zero order hold we can maintain the data until the next measure. In this form the output implemented in the algorithm is continuous. In this paper, a novel variable-gain super-twisting observer is proposed based on Lyapunov theory. That is, the correction terms varies during the time. This variable gain depends on the error trajectories and known functions that are upper bounds for the disturbances that affect the system. The observer ensures finite time convergence into a boundary layer depending of the sampled period. This structure is applied in a simple pendulum model using several sample periods of time.
AB - Most of state observers implemented in real systems are not able to measure the information continuously. The sliding observers are not an exception. Nevertheless, when state observers are used in numerical applications or even in real systems, one must implement a sampled based observer. This means that the output was obtained by means of a Analogical/Digital Converter. Using a zero order hold we can maintain the data until the next measure. In this form the output implemented in the algorithm is continuous. In this paper, a novel variable-gain super-twisting observer is proposed based on Lyapunov theory. That is, the correction terms varies during the time. This variable gain depends on the error trajectories and known functions that are upper bounds for the disturbances that affect the system. The observer ensures finite time convergence into a boundary layer depending of the sampled period. This structure is applied in a simple pendulum model using several sample periods of time.
UR - http://www.scopus.com/inward/record.url?scp=78650288704&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2010.5608643
DO - 10.1109/ICEEE.2010.5608643
M3 - Contribución a la conferencia
AN - SCOPUS:78650288704
SN - 9781424473120
T3 - Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
SP - 153
EP - 157
BT - Program and Abstract Book - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
T2 - 2010 7th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2010
Y2 - 8 September 2010 through 10 September 2010
ER -