Premium
A method of designing ac/dc thyristor converter current control systems by using discrete time MRAC with deterministic disturbances
Author(s) -
Xu Z.,
Mochizuki Takuro,
Tanaka Yoshiaki,
Hanamoto Takahashi
Publication year - 1994
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391140112
Subject(s) - control theory (sociology) , unobservable , constant (computer programming) , stability (learning theory) , convergence (economics) , thyristor , adaptive control , term (time) , computer science , transformation (genetics) , mathematics , control (management) , engineering , voltage , biochemistry , chemistry , physics , quantum mechanics , artificial intelligence , machine learning , electrical engineering , economics , econometrics , gene , programming language , economic growth
Two design methods of ac/dc thyristor converter current control systems with MRAC (Model Reference Adaptive Control) have been designed. To linearize the input/output relation of the systems, the constant term of the model is considered in different ways. In the first method, a linear transformation of the control input is made while in the second method, the constant term and compensated modeling error are neglected by integral adaptation. Computer simulations and experiments have shown that the control performances of the MRAC systems are much better than that of PI controllers. However, in the first method, since the variable vector is not persistently spanning, the convergence rate of estimated parameters is not as high as expected. The second method has better dynamic characteristics but its stability has not been proved in theory. This paper suggests a new design method in which the constant term is considered as a deterministic disturbance. The feature of this method is that by introducing an equality equation which makes the term of disturbances apparently unobservable, the effect of disturbances can be eliminated and the existing adaptive control scheme without disturbances whose stability has been proved theoretically can be used. Computer simulations and experiments show that the new method can obtain better responses than the old ones.