Comparation in application of recursive estimation and control of the real DC motor parameters in adaptive pole placement control system and adaptive system with self-tuning regulator with minimum variance

Abstract

Adaptive control covers a collection of techniques with a systematic approach to real-time automatic control. The criteria for identification algorithms have to be met in real time. This is determined by the fact that the submission of new data and the implementation of new control measures should take place in a single discretization period. Here is made a comparation of recursive identification and control of the real DC motor parameters in adaptive pole placement control system and adaptive system with self-tuning regulator with minimum variance.