Selection Method Of Adaptive Wing Configuration

The research of adaptive wing is of advantage to the development of aviation, and now the tunnel experiment has begun for the research of adaptive wing. But adaptive wing is of multi-configuration and complex configuration and its Aerodynamics characteristic is complex, so the wind tunnel experiment is too large. If wing configuration Aerodynamics characteristic is confirmed completely by permutation and combination experiment method, it is an onerous and infeasible work. For improving wind tunnel experiment efficiency, reducing experiment cost, cutting experiment period, this paper discusses the combination of genetic algorithm with wind tunnel experiment. Now the theory of adaptive wing is in leading strings and the most of theory are base on multi-element airfoil theory. So multi-element may be as to the research object of this paper and its result can be applied adaptive wing.The attack angle, flap deflection, overlap and gap of multi-element airfoil are coded with genetic algorithm, and the fitness is provided by wind tunnel experiment. We can get new population by genetic algorithm numerating which are selection, crossover and mutation. Then the same process is repeated until algorithm convergences.The research based on 2-element airfoil shows that genetic algorithm is easy local convergent when the population size is too small, and genetic algorithm is almost not convergent when the population size is too large. When the population size is twice of chromosome length, algorithm can search optimum values and decrease times of wind tunnel experiment by 40%. Initial population values have almost no influence upon the astringency of genetic algorithm and effect of numeration. In addition, we also numerate the 4-element airfoil wind tunnel experiment. When the population size is twice of chromosome length, Algorithm can increase the experiment efficiency by 87%～93%, so it may be applied to the large-scale wind tunnel experiment. According to the kind of adaptive wing, author suggests how to program wind tunnel experiment. This is one of methods for adaptive wing research.