The Research On Category I Precision Approach Segment Offset Angle Optimal Algorithm

With the gradual implementation of the12th Five Year Plan, the new building airport and the expansion of the airport is increasing. In the airport construction preliminary feasibility study stage, Flight program design will directly affect the airport operation mode in the future, Efficient operation mode will be directly related to the new airport can be safe and efficient operation after completion. At present domestic most airports are equipped with category Ⅰ precision approach system, category Ⅰ precision approach flight program design rely on designers with computer aided design. Current category Ⅰ precision approach programming method is enough to handle most plains airport and surrounding clearance situation better airport flight program design, but the efficiency is not high, in the face of the complex terrain conditions, airport clearance surrounding environment is very poor, heading for the airport construction requirements, need to use offset special program design course, the course of the runway centerline. The design of the conventional method requires a lot of double counting, efficiency is not high, and are easy to appear mistakes.According to the civil aviation organization related documents and flight program design manual, about were summarized and the existing flight program design standards of precision approach and the special requirements of offset cases, has been clear about the category Ⅰ precision approach design factors to consider. Existing flight program design thinking is mainly determined primarily into aircraft departure plan, drawn into leave reserves and approach reserve, reserve obstacles super evaluation, on the basis of the program design scheme based on super barrier. On the basis of the above design idea, the paper choose the right means of geographic projection, clever imaginary runway entrance as the modeling of coordinate system, the paper will put the category Ⅰ precision approach procedure and finally overshoot abstracted as decision variables, constraints, the mathematical model of multi-objective function, and the model was detailed in this paper. Using simulated annealing algorithm, genetic algorithm to solve multi-objective function of this article, which found that there were insufficient. Based on the former research results of multi-objective algorithms, using improved particle swarm algorithm to solve this model. In the process of solving the modified particle swarm optimization (pso) algorithm to carry on the redesign, put forward in accordance with this article particle swarm optimization (pso) algorithm, makes the algorithm better able to generate initial solution, and the selection of processing individual extremum and global extremum problems. The offset to the category I precision approach procedure design provides scientific decision basis, improves the complex airport the credibility of the preliminary feasibility study of programming.