Output-regulated optimal grey controller

Abstract

In this paper, we propose a new method to design a grey prediction system controller using output feedback. The optimal reduced order model will be used to retain the physical meaning of the output states. By using only the output states feedback, the control strategy can be implemented easily. The grey prediction method adopts the forecasting information from the output state variables to control system behavior. As a result, it reduces the oscillation and enhances the dynamic stability of the system. The advantages of the proposed method are verified through a detailed simulation of a multi-machine power system. * Responses of the system with the proposed method and full state feedback optimal control are included for comparative analyses. In conclusion, the effectiveness of the grey prediction system controller in enhancing the dynamic performance stability is much better than the traditional optimal control methods.