Solving the Steady Flight State of Aircraft Based on Hybrid Genetic Algorithm

Steady flat flight is widely used in the flight simulator training as an ideal initial state. To ensure the accurate solving of the steady flat flight state a hybrid genetic algorithm is put forward. The algorithm based on the new concept of ldquoindividual learning potentialityrdquo make the Lamarckian learning and Baldwinina learning genetic algorithm combination together organically according to the particularity of the solving in the steady flat flight state. The algorithm could make the advantage of the learning into full play and make the disadvantage into inhibitory. The algorithm has generality which just use the state variable to calculate and can be independent of the airplane dynamic. Simulation result shows that the new algorithm combined the tow learning mechanism has made a good effect.