A State Control System with an Adaptive State Regulator
Year: 2026
Type: conference-paper
Abstract: The paper introduces a control system model that relies on the state of the object being regulated. The model incorporates both a state observer and a state controller. The reference input for this control architecture is composed of the target values of the controlled object's state parameters. Within the proposed model, the “extended Kalman filter - adaptive digital filter” system functions as the observer of the system's state. The design and operational principles of the state regulator are detailed, along with the adaptive algorithm that governs its behavior. This adaptive control component utilizes the output data from the “extended Kalman filter - adaptive digital filter” system to construct the error vector. The output information from the “extended Kalman filter - adaptive digital filter” system comprises the state estimate vector generated by the extended Kalman filter component and the corrected state estimate vector produced by the adaptive digital filter component within the same system. The adaptive algorithm for the control system's state regulator processes these outputs to derive the most accurate possible error signal for regulation. Integrating the state observer with the state regulator in this configuration enables effective management of dynamic objects, especially when their state variables cannot be directly measured and are subjected to irregular external disturbances.
Author: Petr Bezmen
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7220709293