Abstract
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.
Original language | English |
---|---|
Title of host publication | Proceedings of the 34th Chinese Control Conference, CCC 2015 |
Pages | 2350-2356 |
Number of pages | 7 |
Volume | 2015-September |
ISBN (Electronic) | 9789881563897 |
DOIs | |
Publication status | Published - 11 Sep 2015 |
MoE publication type | A4 Article in a conference publication |
Event | Chinese Control Conference - Hangzhou, China Duration: 28 Jul 2015 → 30 Jul 2015 Conference number: 34 |
Conference
Conference | Chinese Control Conference |
---|---|
Abbreviated title | CCC |
Country | China |
City | Hangzhou |
Period | 28/07/2015 → 30/07/2015 |
Keywords
- energy-like dynamic equations
- multi-objective trajectory optimization
- NLP problem
- PSO algorithm