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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yuan Ren Ping-Yuan Gui En-Jie Luan |
| Copyright Year | 2006 |
| Description | Author affiliation: Deep Space Exploration Center, Harbin Inst. of Technol. (Yuan Ren; Ping-Yuan Gui) |
| Abstract | In deep space exploration missions, total ΔV is a very important performance index. Δ VEGA and optimization are two important technique to reduce the total Δ V in deep space missions. The earth swingby increase the sensitivity of the trajectory greatly, so the optimization of Δ VEGA trajectory is one of the most sophisticated problem currently investigated in the region. In this paper, the whole Δ VEGA trajectory is divided into several trajectory segments. Each trajectory segment connecting consecutive maneuver points is found by solving an N-body analog to Lambert's problem. We can also obtain state transition matrix of each trajectory segments. The analytical gradients of total Δ V with respect to adjustable variables such as launch time, arrival time, swingby time and the periapsis position relative to the gravitating body are derived based on the transition matrix and calculus of variation. The performance index could be reduced by utilizing quasi-Newton algorithm. At the end of this paper, the Δ VEGA trajectory of Chinese deep space exploration mission to the near earth asteroid Ivar is optimized by this method. |
| Sponsorship | IEEE Syst., Man and Cybernetics Hebei Univ. |
| Starting Page | 349 |
| Ending Page | 353 |
| File Size | 8308 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424400619 |
| DOI | 10.1109/ICMLC.2006.259037 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Space exploration Performance analysis Earth Space missions Joining processes Calculus Optimization methods |
| Content Type | Text |
| Resource Type | Article |
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