Research On Iterative Learning Control And Its Application For Synchronous Generator Excitation System

In the operation of the power system, guaranteeing the stability of the system and improving the quality of voltage is one of the important methods to improve the stability of synchronous generator excitation control system, compared with other measures to improve power system stability, excitation control system control has advantages to implement easily, efficiency.Iterative learning control is not dependent on the accurate mathematical model and use a priori knowledge of system to correct the current control input signal, to achieve the approximation method of expectations. And the algorithm structure is simple, can achieve high tracking precision, and can adapt to uncertainty nonlinear, strong coupling system that is in keeping with the characteristics of the power system, so this article from the theory of iterative learning control, the method of iterative learning control is applied to the synchronous generator excitation control system, to improve system dynamic quality, achieve ideal control effect.This paper mainly reserch in how to improve control algorithm for excitation controller of power system, the main work of this paper are as follows:1.We mainly analyze the PID type iterative learning control and convergence analysis are given, and then for nonlinear time-varying systems is given its D-type iterative learning law, and convergence is analyzed, and then accelerate the D-type learning law are deduced.2.We discuss the advantages and disadvantages from the using of control information of open-loop and closed-loop learning. Summarizing and drawing out PID iterative learning control based on forgetting factor learning law. This study law can make full use of the system information at the previous operation and this time.3.Focusing on single-electric power system, we propose PID type iterative learning control based on forgetting factor. The detailed convergence analysis and proof are given. Through continuous iteration to improve the characteristics of the excitation controller, so it can very good ability to stabilize the voltage of the synchronous generator pattern, the control effect is good, regulating effect is ideal, and easy to implement.