Multi-objective longitudinal trajectory optimization for hypersonic reentry glide vehicle based on PSO algorithm

• Published in: 2015 34th Chinese Control Conference (CCC) pp. 2350 - 2356
• Main Authors: Weidong, Zhang, Xianlin, Huang, Xiao-Zhi, Gao, Hongjun, Pang
• Format: Conference Proceeding Journal Article
• Language: English
• Published: Technical Committee on Control Theory, Chinese Association of Automation 01.07.2015
• Subjects: Algorithms; Computer simulation; energy-like dynamic equations; Hypersonic reentry; Linear programming; Mathematical analysis; Mathematical model; Mathematical models; multi-objective trajectory optimization; NLP problem; Nonlinear dynamics; Optimization; PSO algorithm; Sociology; Sorting; Statistics; Trajectory optimization; Vehicles
• ISSN: 2161-2927; 1934-1768
• DOI: 10.1109/ChiCC.2015.7260001

For the purpose of solving the multi-objective reentry trajectory optimization problem with multiple path and terminal constraints for a hypersonic reentry-gliding vehicle, the energy-like dynamic equations are introduced by original time-varying equations so that the problem can be finally transformed to a non-linear program NLP problem with fixed terminal values. After that, a numerical optimization method based on PSO algorithm is considered, where the adaptive penalty technique and Normalized Non-dominated Sorting technique are used to handling the multi-constraints and multi-objectives, respectively. The simulation shows that the complete longitudinal multi-objective trajectories can be generated by the proposed algorithm and the optimized angles of attack can provide multiple references for practical engineering.