Multi-Stage Cooperative Trajectory Optimization of Dual-Pulse Aircraft Based on Decentralized Parallel Pseudospectral Algorithm

A decentralized parallel algorithm based on Gauss pseudospectral algorithm is presented for the multi-stage cooperative trajectory optimization of dual-pulse aircrafts. According to the characteristic of dual-pulse thrust, the trajectory is divided into four stages. In the decentralized parallel pseudospectral algorithm, each aircraft independently solves its optimal trajectory in parallel. The lower bound constraint of flight time is introduced to ensure the flight time consistency of aircrafts. The decentralized parallel pseudospectral algorithm is compared with the centralized pseudospectral algorithm by two simulation cases. The simulation results show that the decentralized parallel algorithm proposed in this paper can obtain better performance index and higher solving efficiency for the multi-stage cooperative trajectory optimization of dual-pulse aircrafts.