A Genetic Algorithm for the Trajectory Optimization of Fuel-Optimal Flight Based on Energy-State Control
Jin Zhang · Measurement & Control Technology · 2006
A fuel-optimal flight trajectory optimization problem is presented.The method of energy-state is used to simplify the dimension of the traditional point-mass motion model,and the theory of optimal control is used for the trajectory optimization.The global optimization has been achieved with a genetic algorithm program in Matlab.The simulation results show that the genetic algorithm ability in the global optimization is efficient,which can shorten the whole simulation time,save the fuel and shorten the aircraft's climb time.