Best Flight Cost Trajectory Optimization Based on Particle Swarm Optimization Algorithm

Taking a certain large aircraft as example,the performance index was applied to which was based on the best flight cost.At the same time,the theory of optimal control is used to derive the optimization equation of aircraft's longitudinal flight process(climb-cruise-descent).The global optimization has been achieved with a particle swarm optimization algorithm,and realizes the goal of an optimal cost trajectory by matlab.The simulation results indicate that the particle swarm optimization algorithm's ability in the global optimization is efficient.We can see form the time-cost trajectory,which is compared with the fuel-optimal trajectory,that the airspeed and fuel consumption is increased,but the flight-time is shortened largely,which can help the airline company reduce the operator cost.