Linear Active Disturbance Rejection Control Based on UKF Identification

To improve the estimation result of the linear extended state observer (LESO), we propose a linear active disturbance rejection control strategy based on the UKF identification. We use the UKF identification method to identify the unknown parameters of the system model and the controller gain b
₀
of the linear active disturbance rejection control (LADRC), thereby reducing the uncertain factors of the controlled system and improving the ability of the LESO to estimate the generalized disturbance of the system. The proposed control strategy is applied to the rotor-driving system. The simulation results show that the proposed method has better control effect compared with the traditional LADRC, and the estimation ability of the linear extended state observer is stronger.