Quantum genetic algorithm based homing trajectory planning of parafoil system

Homing Trajectory planning is a core task of autonomous homing of parafoil system. This paper analyzes and establishes a mathematical model, and then proposes a homing trajectory planning method of parafoil system based on quantum genetic algorithm. By using the quantum bit with superposition state to encode the control law and introducing the quantum rotation gate to realize evolution of chromosomes, the proposed method guides and realizes homing trajectory optimization design. Simulation results under different initial states indicate that this method is effective for homing trajectory optimization of parafoil system. Compared with the chaos particle swarm optimization algorithm, the homing precision is even better.