Model-Following Control of Single-Phase Inverters Using Time-Varying Sliding Surface

Author(s):  
En-Chih Chang ◽  
Rong-Ching Wu ◽  
Chieh-Hsu Kuo
Author(s):  
M. Pascual ◽  
G. Garcera ◽  
E. Figueres ◽  
J.M. Benavent ◽  
F. Gonzalez-Espin

1991 ◽  
Vol 113 (3) ◽  
pp. 479-486 ◽  
Author(s):  
J. S. Yun ◽  
H. S. Cho

This paper deals with a position control of hydraulic servo systems subjected to unknown and time-varying external load disturbances. Since hydraulically operated processes are often subjected to unknown disturbances, an adaptive model following control (AMFC) scheme was derived based upon the Liapunov’s Direct Methods which was employed by Monopoli (1981). As an adaptation criterion this method utilizes an ultimate boundary of the uncertain parameters associated with the plant dynamics and the unknown disturbances. The performance of the derived adaptive controller is evaluated through simulation and experimental studies. The results show that the proposed AMFC is fairly insensitive to unknown and time-varying external load disturbances, yielding much better response characteristics, compared with those of a conventional constant PI feedback controller.


1987 ◽  
Vol 109 (3) ◽  
pp. 209-215 ◽  
Author(s):  
Y. H. Chen

The model-following control problem for nonlinear uncertain dynamical systems is considered. Based only on the knowledge of functional properties relating to the bound of the time-varying uncertainty, a class of adaptive feedback controls is developed which, under some realistic assumptions, guarantees the error between the uncertain dynamical system and the model tends to be zero. Application to robotic manipulators is made.


2008 ◽  
Vol 55 (8) ◽  
pp. 2870-2883 ◽  
Author(s):  
Marcos Pascual ◽  
Gabriel Garcera ◽  
Emilio Figueres ◽  
Francisco Gonzalez-Espin

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