Abstract
An adaptive optimal controller is described in this paper. The transfer function of the controlled process is identified in real time and converted into its state equation. Control output is calculated by solving a special discrete Riccati equation. Choosing suitable input and ouput, the proposed algorithm has been applied to perform the functions of an adaptive optimal excitation controller for a synchronous generator and of an adaptive optimal power system stabilizer. Simulation studies with a single machine and a three machine power system are described. The control algorithm has been implemented on a microcomputer and results of a few field tests as a stabilizer on a 400 MW generating unit are also given.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
