DC motor control using an optimal control system with a dual-sampling rate method based on a Kalman filter and a disturbance observer

This paper describes an optimal control system with dual-sampling observer. The proposed system design is independent of the plant sampling rate and it controls the plant as high sampling rate although the plant has the low sampling rate. It can be applicable to the plant that has the low sampling rate and the proposed method can apply in various types of the plant. The proposed method has revolutionary features that are the robustness compared with conventional method and high accuracy.