Model Reference Adaptive Control
نویسنده
چکیده
This article presents the elements of model reference adaptive control, which refers to a particular control procedure for uncertain dynamic systems. The control problem as well as the adaptive control problem are described. The use of various models for control, including identification model and reference model is presented. The model-following in the presence of various inputs is discussed. Using these properties, the problem of model reference adaptive control is described. The error model approach for designing the requisite controllers is delineated. The solution to the model reference adaptive control for linear plants is presented. Its extension to nonlinear systems is briefly mentioned. The role of parameter identification and its relation to persistent excitation is described. Major developments in the field of model reference adaptive control have taken place in the eighties and nineties and have been applied in a number of practical control problems with success.
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