Optimal feedback control design using genetic algorithm in multimachine power system

摘要

This paper introduces an application of genetic algorithm (GA) to design weighting matrices Q and R element sin Linear Quadratic Regulator (LQR) optimization process. The weighting matrices Q and R are the most important components in LQR optimization. The Performance of matrices Q and R determines the output performances of the system. Commonly, a trial-and-error method has been used to Construct the matrices Q and R elements. This method is very simple, but very difficult to produce good control performances. Also it takes a Long time to choose the best values in its processing.