A Practical Design Method for Nonlinear Robust Control Systems using Genetic Algorithms

Abstract

Based on genetic algorithms, we propose a practical design method for robust nonlinear controllers of uncertain nonlinear system. First, we show how to combine the genetic algorithm with the control design. In the proposed design method, the techniques of genetic algorithms are used to circumvent the difficulties of calculation of minimax solutions. Next, we illustrate by simulation the reliability of the proposed method through a simple example. Finally, we demonstrate its applicability by tackling with the flight control problems of landing in a windshear