Study On Genetic Algorithms And Its Application In Automatic Control Field

Genetic algorithm is a new optimizing searching method based on biology evolutionary theory. Some improvements like protecting the best individual, accepting immigrations as well as employing adaptive crossover and mutation operators are presented to overcome the slow and premature convergence shortages of Canonical Genetic Algorithms. Analysis is made on their effects on algorithm convergence.By applying this modified genetic algorithm to the optimizing of parameters of PID controller, Better performances of control system are achieved and simulation result based on MATLAB shows its feasibility and utility; by applying this modified genetic algorithm to the, identification of parameters of non-linear flow-meter, comparison result shows that the modified algorithm has good convergence.New content has been added to the intelligent control theory by the application of genetic algorithm to automatic control field. ,...