Direct identification in closed loop of the dynamic process parameters

Abstract

This paper approached aspects related to direct identification in a closed loop of dynamic process parameters (electric drive system), and specified peculiarities of adaptive self-tuning controllers. The identification methods in the closed loop, with the direct estimation of process parameters based on the prediction error one step, can be applied also to both closed-loop and open-loop. The article analyzes the direct algorithm identification of a process affected by noise, but without external interference.