Abstract：To solve trajectory optimization problem of reusable launch vehicle(RLV), a hybrid HPSO algorithm was proposed. Combining improved particle swarm optimization algorithm with sequential quadratic programming, a new particle swarm arrangement scheme was adopted to introduce timevarying inertia factors for adjusting searching velocity, and to improve the update scheme for velocity and position. Flight dynamic equations, engine model, aerodynamic model and constraint conditions of ascend trajectory optimization problems were obtained. The optimization design steps including collocation discretization, improved multi-neighborhood PSO and HPSO hybrid algorithm were determined, and the minimum fuel consumption problem was optimized and analysed. The calculation results show that a global highprecision solution of RLV trajectory optimization can be obtained even without a proper initial guess. The proposed algorithm can solve the trajectory optimization problem with good correctness, effectiveness and robustness.
2013, Vol. 34 
