Study On Optimal Performance Of General Trainer Base On Training Efficiency

With the openness of the airspace, the domestic general aircraft market will be active increasingly, and with the growth of the civil aviation, it will bring a sharp increase in demand of general aircraft pilots. As a result, the needs of the general trainer increase rapidly. Start from the focus of the domestic training institutions, and how to select or design a trainer which satisfies the needs of the institutions is becoming a key point of the aircraft manufacturers.In this article, we consided the important aircraft performance parameters studied in the preliminary design stage, and calculated 7 parameters including the maximum take off weight, the range, the cruise altitude, the cruise speed, the maximum climbing rate, the take off slide distance and the take off distance in air. Then, we used four common aircrafts used in private license training stage to verify the reliability of the formulas. Here, the Masefield-Burdark model was applied to calculate the training effectiveness, and we used this model to calculate the training efficiency of the four common aircrafts, after then, we analyzed the possible reasons about the difference,and the values would be used as a reference to the later optimizing calculation. After we defined the model, we began to seek optimization algorithms. In this paper, we used respectively two kinds of intelligent optimization algorithms which are called the genetic algorithm(GA) and the particle swarm optimization(PSO) algorithm to find the best performance parameters. Meanwhile, we used the Matlab language to realize the calculation, and compared the optimized solutions which were both equal to 8,and both the algorithm can give an effective optimal performance parameters. At last,we analyze the effectiveness of the result, and give the related variables which would be used on the plane design domain.