Aircraft evasive maneuver trajectory optimization based on QPSO

This paper introduces a parameterization method for obtaining closed-loop suboptimal solutions to the aircraft evasive maneuver problem, which is transformed into a nonlinear programming problem using Quantum-behaved Particle Swarm Optimization (QPSO) algorithm based on rolling optimization concept. Considering the aircraft sensitivity constraints, angle of attack and bank angle accelerations are chosen as the decision variables, which guarantee feasibility of the aircraft evasive maneuver trajectory with reduced inequality constraints. Simulation shows that the method presented is of high effectiveness.