An observer design for 2 inertia servo control system

In this paper, the authors propose a servo control system with an observer which can predict one step ahead states as well as disturbances. And also, they utilized two inertia modeling in order to deal with coupled system accurately. The overall control system consists of two parts-a servo controller and an observer. The state observer is designed with the Kalman filter algorithm to estimate the unknown states optimally. It is well known that the Kalman filter is an effective way to estimate the state of a dynamic system with a random noisy environment. A measurement error may occur due to a low resolution encoder in observer design. There are a number of disturbances in servo control systems due the observer which can estimate the disturbances using an inverse matrix of system dynamic equations to unexpected loads, parameter changes and other reasons. Simulation results are carried out to show that the proposed algorithm is able to estimate the speed and position stable and accurately. Also, the performance of the proposed algorithm is shown to be better than the average speed algorithm by some simulation results