Augmented Automatic Choosing Control of Modified Filter Type for Nonlinear Noisy Measurement Systems

Abstract

This paper is concerned with single nonlinear feedback control for nonlinear systems with noisy measurement. A given nonlinear system is linearized piecewise to design the linear optimal controllers, which are then smoothly united into a single nonlinear feedback controller by an automatic choosing function. The state estimation is carried out with a modified nonlinear filter, which includes the 1st-and 2nd-order filters. This is called an augmented automatic choosing control of modified filter type (AACCMF). Simulation results show that the new controller improves the stability of electric power systems well.