Synthesis of a Control System Using the Genetic Algorithms

The approaches for the synthesis of an automatic control system using the genetic algorithms are suggested. The paper presents the results of system parameters optimization in the range of settings ruling out instable operation and self-oscillations; these results have been obtained in MATLAB. In addition, we solve the problem of multi-criteria optimization by constructing the set of Pareto-optimal solutions as a result of control system simulation and the use of genetic algorithm.